Operational research Books
Springer International Publishing AG Interpretability in Deep Learning
Book SynopsisThis book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In addition, it includes several case studies from application-oriented articles in the fields of computer vision, optics and machine learning related topic. The book can be used as a monograph on interpretability in deep learning covering the most recent topics as well as a textbook for graduate students. Scientists with research, development and application responsibilities benefit from its systematic exposition. Table of Contents1 INTRODUCTION 1.1 Deep Learning Glossary 1.2 Evolution of Deep Learning 1.2.1 Neural Learning 1.2.2 Fuzzy Learning 1.2.3 Convergence of Fuzzy Logic and Neural Learning 1.2.4 Synergy of Neuroscience and Deep Learning 1.3 Awakening of Interpretability 1.3.1 Relevance 1.3.2 Necessity 1.3.3 The Taxonomy of Interpretability 1.4 The Question of Interpretability 1.4.1 Interpretability - Metaverse 1.4.2 Interpretability - The Right Tool 1.4.3 Interpretability - The Wrong Tool 2 NEURAL NETWORKS FOR DEEP LEARNING 2.1 Neural Network Architectures 2.1.1 Perceptron 2.1.2 Artificial Neural Network 2.1.3 Recurrent Neural Network 2.1.4 Convolutional Neural Network 2.1.5 Autoencoder Neural Network 2.1.6 Generative Adversarial Network 2.1.7 Graph Neural Network 2.2 Learning Mechanisms 2.2.1 Activation function 2.2.2 Forward Propagation 2.2.3 Backpropagation 2.2.4 Gradient Descent 2.2.5 Learning Rate 2.2.6 Optimization 2.2.7 Initialization 2.2.8 Regularization 2.3 Challenges and Limitations of Traditional Techniques 2.3.1 Resource-Demanding Checks 2.3.2 Uncertainty Measure 2.3.3 Network Learning Sanity Check 2.3.4 Gradient Checks 2.3.5 Decision Transparency 3 KNOWLEDGE ENCODING AND INTERPRETATION 3.1 What is Knowledge? 3.1.1 Image Representation 3.1.2 Word Representation 3.1.3 Graph Representation 3.2 Knowledge Encoding and Architectural Understanding 3.2.1 Role of Neurons 3.2.2 Role of Layers 3.2.3 Role of Explanation 3.2.4 Semantic Understanding 3.2.5 Network Understanding 3.3 Design and Analysis of Interpretability 3.3.1 Divide and Conquer 3.3.2 Greedy 3.3.3 Back-tracking 3.3.4 Dynamic 3.3.5 Branch and Bound 3.3.6 Brute-force 3.4 Knowledge Propagation in Deep Network Optimizers 3.4.1 Knowledge versus Performance 3.4.2 Deep versus Shallow Encoding 4 INTERPRETATION IN SPECIFIC DEEP ARCHITECTURES 4.1 Interpretation in Convolution Networks 4.1.1 Case Study: Image Representation by Unmasking Clever Hans 4.1.2 Variants of CNNs 4.1.3 Interpretation of CNNs 4.1.4 Review: CNN Visualization Techniques 4.1.5 Review: CNN Adversarial Techniques 4.1.6 Inverse Image Representation 4.1.7 Case study: Superpixels Algorithm 4.1.8 Activation Grid and Activation Map 4.1.9 Convolution Trace 4.2 Interpretation in Autoencoder Networks 4.2.1 Visualization of Latent Space 4.2.2 Sparsity and Interpretation 4.2.3 Case Study: Microscopy Structure to Structure Learning 4.3 Interpretation in Adversarial Networks 4.3.1 Interpretation in Generative Network 4.3.2 Interpretation in Latent Spaces 4.3.3 Evaluation Metrics 4.3.4 Case study: Digital Staining of Microscopy Images 4.4 Interpretation in Graph Networks 4.4.1 Neural Structured Learning 4.4.2 Graph Embedding and Interpretability 4.4.3 Evaluation Metrics for Interpretation 4.4.4 Disentangled Representation Learning on Graphs 4.4.5 Future Direction 4.5 Self-Interpretable Models 4.6 Pitfalls of Interpretability Methods 5 FUZZY DEEP LEARNING 5.1 Fuzzy Theory 5.1.1 Fuzzy Sets and Fuzzy Membership 5.1.2 Fuzzification and Defuzzification 5.1.3 Fuzzy Rules and Inference Systems 5.2 Neuro-Fuzzy Inference Systems 5.2.1 Architecture of a Neuro-Fuzzy Inference System 5.2.2 Other Design Elements of Neuro-Fuzzy Inference Systems 5.2.3 Learning mechanisms for Neuro-Fuzzy Inference Systems 5.2.4 Online Learning with Dynamic Streaming Data 5.3 Case studies 5.3.1 POPFNN Family of NFS − evolution towards sophisticated brain-like learning 5.3.2 Combining Conventional Deep Learning and Fuzzy Learning A Mathematical models and theories A.1 Choquet Integral A.1.1 Restricting the Scope of FM/ChI A.1.2 ChI Understanding from NN A.2 Deformation Invariance Property A.3 Distance Metrics A.4 Grad Weighted Class Activation Mapping A.5 Guided Saliency A.6 Jensen-Shanon Divergence A.7 Kullback-Leibler Divergence A.8 Projected Gradient Descent A.9 Pythagorean Fuzzy Number A.10 Targeted Adversarial Attack A.11 Translation Invariance Property A.12 Universal Approximation Theorem A List of digital resources and examples References .
£116.99
Springer International Publishing AG Applications in Reliability and Statistical
Book SynopsisThis book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. 5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.Table of Contents1.Forecasting The Long-Term Growth of S&P 500 Index Stephen H.-T. Lihn2.Smart Maintenance and Human Factor Modeling for Aircraft Safety Eric T. T. Wong and W. Y. Man3.Feedback-based algorithm for negotiating human preferences and making risk assessment decisions Silvia Carpitella, Antonella Certa, and Joaquín Izquierdo4.Joining Aspect Detection and Opinion Target Expression based on Multi-Deep Learning Models Bui Thanh Hung5.Voting Systems with Supervising Mechanisms Tingnan Lin and Hoang Pham6.Assessing the Severity of COVID-19 in the United States Kehan Gao, Sarah Tasneem, and Taghi Khoshgoftaar7.Promoting expert knowledge for comprehensive human risk management in industrial environments Ilyas Mzougui, Silvia Carpitella, and Joaquín Izquierdo8.Data Quality Assessment for ML Decision-Making Alexandra-Ștefania Moloiu, Grigore Albeanu, Henrik Madsen, and Florin Popențiu- Vlădicescu9.From Holistic Health to Holistic Reliability – Toward an Integration of Classical Reliability with Modern Big-data Based Health Monitoring Fengbin Sun10.On the Aspects of Vitamin D and COVID-19 Infections and Modeling Time-delay Body's Immune System With Time-dependent Effects of Vitamin D and Probiotic Hoang Pham11.A Staff Scheduling Problem of Customers with Reservations in Consideration With Expected Wait Time of a Customer Without Reservation Junji Koyanagi12.Decision Support System for Ranking of Software Reliability Growth Models Devanshu Kumar Singh, Hitesh, Vijay Kumar, and Hoang Pham13.Human Pose Estimation using Artificial Intelligence Himanshu Sharma, Anshul Tickoo, Avinash K Shrivastava, and Umer Khan14.Neural Network Modeling and What-if Scenarios: Applications for Market Development Forecasting Valentina Kuskova, Dmitry Zaytsev, Gregory Khvatsky, and Anna Sokol15.Mental Health Studies: A Review Rachel Wesley and Hoang Pham
£125.99
Springer International Publishing AG Advances in Best-Worst Method: Proceedings of the
Book SynopsisThis book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Third International Workshop on Best-Worst Method (BWM2022), held in Delft, the Netherlands, from 9 to 10 June 2022. The book provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. Moreover, it highlights the use of BWM in different settings including individual decision-making vs group decision-making, and with complete information vs incomplete and uncertain information. Academics and practitioners whose work involves multi-criteria decision-making and decision analysis will particularly benefit from the papers gathered here.
£151.99
Springer International Publishing AG Information Systems Research: Foundations, Design
Book SynopsisThis textbook will delve into the philosophical foundation of contemporary IS research design with particular emphasis on the methodological tools that can be applied to conduct effective research in the multidisciplinary area of contemporary IS. What sets the book apart is that it will cover the current social paradigm shift, global changes and the need for new methodological tools, which have revolutionised the way we use IS to support our daily practices. It considers the entire methodological procedures applied to research projects that investigate or explore multifaceted areas of contemporary IS, such as information management, digital business, ICT and information science.Featuring learning objectives, case studies, assessment questions and exercises, this textbook offers a practical outline for IS research methodology that will be of use to students and researchers. It aims to satisfy researchers who are seeking literature on applying methodological procedures to their research projects that delve into the world of contemporary IS that other titles have only considered in a much broader sense.Table of ContentsPart 1: Introduction to IS Research Concepts Chapter 1: Historical Background of IS Research This chapter offers a history of IS research, which dates back to the 1980s. It provides a historical background to the application of research designs in IS research by holistically exploring the origins of the contemporary applications of IS research that we have become accustomed to today. The central argument of this chapter is that many IS researchers often lack the historic knowledge to conduct unique IS research, which the chapter aims to address. Chapter 2: Research Philosophies in IS Research This chapter offers a philosophical background to the research paradigms and approaches associated with IS research. It covers contemporary IS through the lens of design science, as well as the ontological and epistemological perspectives of positivist, interpretivist and critical worldviews when studying the social paradigm shifts and global changes resulting from such systems. The central argument of this chapter is the importance of considering the philosophical stances of conducting research in IS research. Chapter 3: Applications of Research Designs in IS Research This chapter provides important information about the application of research designs for IS research. This includes designs such as Descriptive (e.g., case-study, naturalistic observation, survey), Correlational (e.g., case-control study, observational study), Experimental (e.g., field experiment, controlled experiment, quasi-experiment) and Review (literature review, systematic review). The chapter also aims to provide information on how to rationalise and justify the chosen research designs and in IS research topics. The central argument of this chapter is the importance of how research designs can be justified contemporary IS research projects neglected in previous literature. Chapter 4: Applying Contemporary IS Theory to Study Social Paradigm Shifts and Global Changes This chapter aims to draw attention to contemporary theory that can be applied to IS research for studying Social Paradigm Shifts and Global Changes, including IS theories such as "Sociomateriality" (the relationship between material and human existence, or technology and social interactions). Similar and other relevant IS theories include actor-network theory (the study of the cultural traces that the material objects and human actors leave in the process of forming groups), structuration theory (explaining connections between situated interactions and social structures of meaning, norms, and power) or technology acceptance (models how users come to accept and use a technology). This provides researchers with a novel perspective on the methodological theory pertaining to contemporary IS research. The central argument of this chapter is the lack of emphasis on contemporary approaches applied in IS research for studying and justifying Social Paradigm Shifts and Global Changes in IS research projects. Part 2: Practical Applications of IS Research Chapter 5: Methodological Approaches to Studying the Multidisciplinary Areas of IS This chapter builds on chapter 3 by introducing the methodological approaches relevant to IS research. This includes the consideration of inductive and deductive reasoning, a deeper exploration of methodological choices, such as qualitative, quantitative or mixed approaches, and ways of justifying these choices in a practical context. The central argument of this chapter is the lack of information to support the understanding of the methodological approach they will adopt and justify how and why this applies to an IS research project, which the chapter aims to address. Chapter 6: Application of Research Methodologies in Contemporary IS Research This chapter introduces the research methodologies applied in contemporary IS research, including experimentation, action research, case study and secondary research. The central argument of this chapter is that researchers often get confused about the appropriate methodologies they need to apply to their contemporary IS research project. This will help students to determine how they can practically apply their methodological choices to a clear methodological strategic typology to conduct effective field or secondary research in the contemporary IS domain, which the chapter aims to address. Chapter 7: Data Collection Procedures for Contemporary IS Research This chapter is designed to equip researchers with the knowledge to effectively collect research data using a set of procedures and methods. The chapter will specifically cover data collection tools, such as interviews, surveys, observations and focus groups and their relevant procedures used in IS research, in addition to other tools used in the data sciences, such as data modelling tools (e.g. Hadoop). The chapter also considers the target populations and sampling methods. The central argument of this chapter is the lack of information regarding a step by step guide to effectively conducting field research, from granting ethical approval to actually collecting the data on or off site, which the chapter aims to address. Chapter 8: Piloting and Feasibility Studies in IS Research This chapter will cover the process of conducting a pilot study to assess the feasibility of an IS research project. This entails conducting preliminary fieldwork on a target population to test the research questions and/or hypotheses on a small scale to determine its potential feasibility on a larger scale. The central argument of this chapter is that the current IS research methods literature does not explicitly cover the piloting process and the procedures of conducting an effective pilot study, which the chapter aims to address. Part 3: Analysis Procedures and Tools for Analysing Contemporary IS Research Chapter 9: Planning for the Analysis Phase: A Framework of Data Analysis Procedures This chapter will cover the planning procedures to effectively analyse research data in IS research projects. This includes the procedures to organise the collected/collated data ready for analysis, such as transcribing and data tallying. The central argument of this chapter is to equip researchers with the necessary practical knowledge to effectively organise their data to be analysed, which is lacking in the IS methods literature, which the chapter aims to address. Chapter 10: Analytical Methods Used in Contemporary IS Research This chapter will cover the traditional analytical methods to effectively convert IS data into readable findings. Analytical methods include “thematic analysis” and “content analysis” as part of qualitative analyses, and “statistical analysis” analysis methods (e.g. regression, hypothesis testing, standard deviation, among others). In addition, the chapter introduces recently developed analytical methods that align with the notion of social paradigm shifts and global change such as “configuration analysis”. This is a qualitative analysis technique that enables configurations of constructs together to be analysed rather than individual constructs, and thus enables systems theoretic approaches with concepts such as emergence. The central argument of this chapter is the lack of practical applications for how to effectively analyse IS research data based on methodological choice. Chapter 11: Analytical Tools Used in Information Management, Digital Business, ICT and Information Science This chapter will cover the analytical tools that can be applied by researchers to effectively analyse their data. Tools include Nvivo for qualitative analysis, SPSS for quantitative analysis and MATLAB for engineering and scientific analyses, among others. The central argument of this chapter is to provide practical examples of the use of the analytical tools used for effective data analysis, which is lacking in the IS research methods literature, which the chapter aims to address. Chapter 12: Data Protection, Confidentiality and Anonymity This chapter will cover the legal and ethical basis of conducting research. This includes the laws and procedures that govern the protection of personal information, as well as methods of maintaining data confidentiality and anonymity. The central argument of this chapter is that ethical procedures in the IS methods literature lack a practical guide to the key issues that relate to the protection of personal data, which the chapter aims to address. Chapter 13: Ethical Procedures and Processes in IS Research This chapter will cover the ethical process of conducting IS research, from filling out the ethical approval form to developing ethical participant statements. This also includes the techniques used to keep in line with ethical policies when conducting field research, such as questionnaires, observations, focus groups and interviews. The central argument of this chapter is the lack of ethical guidance procedures in IS research, which the chapter aims to address. Part 5: Development of Findings and Concluding the IS Research Project Chapter 14: Writing and Transferring the Findings in IS Research Projects This chapter will cover the processes and procedures of writing up the findings of the research project. Although
£62.99
Springer International Publishing AG Fundamentals of Convex Analysis and Optimization:
Book SynopsisThis book aims at an innovative approach within the framework of convex analysis and optimization, based on an in-depth study of the behavior and properties of the supremum of families of convex functions. It presents an original and systematic treatment of convex analysis, covering standard results and improved calculus rules in subdifferential analysis. The tools supplied in the text allow a direct approach to the mathematical foundations of convex optimization, in particular to optimality and duality theory. Other applications in the book concern convexification processes in optimization, non-convex integration of the Fenchel subdifferential, variational characterizations of convexity, and the study of Chebychev sets. At the same time, the underlying geometrical meaning of all the involved concepts and operations is highlighted and duly emphasized. A notable feature of the book is its unifying methodology, as well as the novelty of providing an alternative or complementary view to the traditional one in which the discipline is presented to students and researchers. This textbook can be used for courses on optimization, convex and variational analysis, addressed to graduate and post-graduate students of mathematics, and also students of economics and engineering. It is also oriented to provide specific background for courses on optimal control, data science, operations research, economics (game theory), etc. The book represents a challenging and motivating development for those experts in functional analysis, convex geometry, and any kind of researchers who may be interested in applications of their work.Table of Contents1. Introduction1.1 Motivation1.2 Historical antecedents1.3 Working framework and objectives2. Preliminaries2.1 Functional analysis background2.2 Convexity and continuity2.3 Examples of convex functions2.4 Exercises2.5 Bibliographical notes 3. Fenchel-Moreau-Rockafellar theory3.1 Conjugation theory3.2 Fenchel-Moreau-Rockafellar theorem3.3 Dual representations of support functions3.4 Minimax theory3.5 Exercises3.6 Bibliographical notes4. Fundamental topics in convex analysis4.1 Subdifferential theory4.2 Convex duality4.3 Convexity in Banach spaces4.4 Subdifferential integration4.5 Exercises4.6 Bibliographical notes5. Supremum of convex functions5.1 Conjugacy based approach5.2 Main subdifferential formulas 5.3 The role of continuity assumptions5.4 Exercises5.5 Bibliographical notes 6. The supremum in specific contexts6.1 The compact-continuous setting6.2 Compactification approach6.3 Main subdifferential formula revisited 6.4 Homogeneous formulas6.5 Qualification conditions 6.6 Exercises6.7 Bibliographical notes7. Other subdifferential calculus rules7.1 Subdifferential of the sum7.2 Symmetric versus asymmetric conditions7.3 Supremum-sum subdifferential calculus 7.4 Exercises7.5 Bibliographical notes8. Miscellaneous8.1 Convex systems and Farkas-type qualifications8.2 Optimality and duality in (semi)infinite convex optimization8.3 Convexification processes in optimization8.4 Non-convex integration8.5 Variational characterization of convexity8.6 Chebychev sets and convexity8.7 Exercises8.8 Bibliographical notes 9. Exercises- Solutions9.1 Exercises of chapter 29.2 Exercises of chapter 39.3 Exercises of chapter 49.4 Exercises of chapter 59.5 Exercises of chapter 69.6 Exercises of chapter 79.7 Exercises of chapter 8 IndexGlossary of NotationsBibliography
£49.49
Springer International Publishing AG Innovative Priority Mechanisms in Service Operations: Theory and Applications
Book SynopsisThis book introduces the most advanced and recent theoretical research on innovative priority mechanisms in service settings. It covers cutting-edge topics on service innovations such as line-sitting, service-position-trading, referral priority programs, queue-scalping, distance-based priority, and dynamic priority policy. It also contains a variety of practical examples and applications which help managers to make better decisions and to develop a coherent business strategy.This book appeals to a wide readership, from academics and Ph.D. students who are interested in priority mechanisms, to service managers and researchers in the service industry.This is an open access book.
£23.74
Springer International Publishing AG Decision Support Systems XIII. Decision Support
Book SynopsisThis book constitutes the proceedings of the 9th International Conference on Decision Support Systems Technologies, ICDSST 2023, held during May 30 – June 1, 2023.The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main theme of this year was “Decision Support Systems in An Uncertain World: The Contribution of Digital Twins”. The 21 papers presented in this volume were carefully reviewed and selected from 65 submissions. They were organized in topical sections as follows: DSS models, methods, and tools; DSS for business performance and stakeholders; DSS applications for sustainability in health, energy and transportation; and DSS users and successful adoption.Table of ContentsMulti-actor VIKOR method for highway selection in Montenegro.- A tool to support the decisions for the trace clustering problem with a non-compensatory approach.- An Asset-Based Causal Loop Model to Improve Corporate Value.- Time-aware Optimisation Models for Hospital Logistics.- Prevention and Detection of Network Attacks: A Comprehensive Study.- Section 2: DSS for business performance and stakeholders.- A Literature Review on the Contribution of Industry 4.0 Technologies in OEE Improvement.- MAMCABM: A data-driven stakeholder-based decision-support system that considers uncertainties.- BPR Assessment Framework: Staging Business Processes for Redesign using Cluster Analysis.- A Lean Knowledge Management Processes Framework for Improving the Performance of Manufacturing Supply Chain Decisions in an Uncertain World.- Integrating Existing Knowledge to Accelerate Buildings Renovation Rates in Europe.- Equity-based allocation criteria for water deficit periods: A case study in South Africa.- Section 3: DSS applications for sustainability - health, energy and transportation.- Attracting financing for green energy projects: a city readiness index.- Building risk prediction models for diabetes decision support system.- AHP method applied to the evaluation of costs and pollution emitted by combined means of transport, case of SMMC port Toamasina.- Evaluate the potential of the Physical Internet for last mile delivery in developing countries.- Towards an integrative assessment model for port sustainability decisions: a systematic review.- Section 4: DSS users and successful adoption.- An investigation on Cloud ERP adoption using Technology-Organisation- Environment (TOE) and Diffusion of Innovation (DOI) theories: a systematic review.- Young Elderly DSS Users - Some Reasons for Successful Adoption.- Behavioral studies for the use of visualization in holistic evaluation for multicriteria decision problems decision.- A Digital Distance Learning Critical Success Factors Model for Conducting Learning Analytics Research.- Scientific Authorship in DSS Research: Past Trends and Future Opportunities.
£47.49
Springer International Publishing AG The Traveling Salesman Problem: Optimization with
Book SynopsisThis book presents a new search paradigm for solving the Traveling Salesman Problem (TSP). The intrinsic difficulty of the TSP is associated with the combinatorial explosion of potential solutions in the solution space. The author introduces the idea of using the attractor concept in dynamical systems theory to reduce the search space for exhaustive search for the TSP. Numerous examples are used to describe how to use this new search algorithm to solve the TSP and its variants including: multi-objective TSP, dynamic TSP, and probabilistic TSP. This book is intended for readers in the field of optimization research and application.Table of ContentsIntroduction.- The Traveling Salesman Problem (TSP).- The Nature of Heuristic Local Search.- he Attractor-Based Search System.- Solving Multi-objective TSP.- Solving Dynamic TSP.- Solving Probabilistic TSP.- Conclusion.
£34.99
Springer International Publishing AG Variational Methods in Partially Ordered Spaces
Book SynopsisThis book discusses basic tools of partially ordered spaces and applies them to variational methods in Nonlinear Analysis and for optimizing problems. This book is aimed at graduate students and research mathematicians.Table of ContentsExamples.- Functional Analysis Over Cones.- Optimization in Partially Ordered Spaces.- Applications.- Bibliography.- Index.
£66.49
Springer International Publishing AG Combinatorial Models for Scheduling Sports
Book SynopsisThis book introduces solutions for sports scheduling problems in a variety of settings. In particular the book covers timetabling, the traveling tournament problem, carryover minimization, breaks minimization, tournament design, tournament planning, and referee assignment. A rich selection of applications to sports such as football, baseball, basketball, cricket or hockey are employed to illustrate the methods and techniques. In a step-by-step tutorial format the book describes the use of graph theory concepts, local search operators and integer programming in the context of sports scheduling. The methods presented in this book are essential to sports scheduling in all its dimensions, from tournaments that are followed by millions of people across the world, with broadcast rights that amount to hundreds of millions of dollars in some competitions, to amateur leagues that require coordination and logistical efforts due to the large number of tournaments and competitors.Table of ContentsLeagues, tournaments, and schedules.- Combinatorial structures.- Metaheuristics and local search.- Integer programming approaches.- Case studies.
£89.99
Springer International Publishing AG Business Intelligence: 8th International
Book SynopsisThis book constitutes the refereed proceedings of the 8th International Conference on Business Intelligence, CBI 2023, which held in Istanbul, Turkey, during July 19–21, 2023.The 15 full papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: artificial intelligence and business intelligence; and optimization and decision support. Table of ContentsArtificial Intelligence and Business Intelligence.- A business intelligence system for governing risks in SMEs.- A Systematic Analysis for Machine Learning Based Cow Price Prediction.- Deep learning models for cybersecurity in IoT networks.- Diabetes prediction by machine learning algorithms and risks factors.- Machine learning prediction of weather-induced road crash events for experienced and novice drivers: Insights from a driving simulator study.- Ontology-based Mediation with Quality Criteria.- Predicting driving license applicant’s performance for Car Reverse Test System.- Optimization and Decision Support.- A Comparative Study on the implementation of Blockchain in Supply Chain Models.- A Hybrid Approach of Dijkstra’s algorithm and A* search, with an optional adaptive threshold heuristic.- Causal Discovery and features importance analysis: What can be inferred about at-risk students?.- Computational features and applications of an inhomogeneous Gompertz diffusion process?.- Localization and Navigation of ROS-based Autonomous Robot in Hospital Environment.- Three-Phase Hybrid Evolutionary Algorithm for the Bi-Objective Travelling Salesman Problem.- Understanding Data Journalism Acceptance among Social TV Users: A Case Study of Twitter in the United Arab Emirates.- Unveiling the Performance Insights: Benchmarking Anomaly-Based Intrusion Detection Systems using Decision Tree Family Algorithms on the CICIDS2017 Dataset.
£47.49
Springer International Publishing AG Multi-Criteria and Multi-Dimensional Analysis in
Book SynopsisA new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. This book introduces the character of the criteria (desirable, non-desirable, motivating, demotivating, and neutral) to MCDA and MCA methods. It presents the author’s own developed methods, the preference vector method (PVM), for solving multi-criteria problems in decision making; and, vector measure construction method (VMCM), which is dedicated to solving typical problems in the field of multidimensional comparative analysis. All methods are explained step by step with relevant examples, primarily in the fields of economics and management.Table of ContentsChapter 1 Introduction.- Chapter 2 Problems of multi-criteria and multidimensionality in decision support.- Part I: Methods of multidimensional comparative analysis.- Chapter 3 Initial data analysis procedure.- Chapter 4 Methods for building aggregate measures.- Part II: Multi-criteria decision support methods.- Chapter 5 Methods based on the outranking relationship.- Chapter 6 Methods based on the utility function.- Chapter 7 Multi-criteria methods using function points.- Chapter 8 Conclusions.
£107.99
Springer International Publishing AG Fuzzy Decision Analysis: Multi Attribute Decision
Book SynopsisAuthored by a leading expert in the field, this book introduces an innovative methodology that harnesses the power of fuzzy logic to enhance decision-making in multi-attribute scenarios. In a world of complexity and uncertainty, effective decision-making is paramount. Springer proudly presents a cutting-edge publication that revolutionizes decision analysis: "Fuzzy Decision Analysis: Multi-attribute Decision-Making Approach." This book stands at the forefront of decision analysis, introducing the integration of fuzzy logic into multi-attribute decision-making. It is a transformative journey into the realm of advanced decision analysis. It book not only equips you with the knowledge to comprehend the theoretical underpinnings but also empowers you to apply these insights in practical scenarios. This book serves as your indispensable companion. Its comprehensive coverage serves as a beacon, guiding you through the intricate maze of fuzzy logic and multi-attribute decision-making, ultimately empowering you to embrace innovation and master the art of making well-informed decisions in an ever-changing world.Table of ContentsFoundations of Decision.- Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS) in uncertainty environment.- The Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) in uncertainty environment.- The Multi-Objective Optimization Ratio Analysis (MOORA) in uncertainty environment.
£125.99
Springer Principles of Supply Chain Management and Their
Book SynopsisPreface.- Principles of Supply Chain Management.- Analysis of Ordering Patterns in Serial Supply Chains.- Pooling in Supply Chains.- Mathematics of Pooling.- Including Capacity Limitations in Planning Models.- Real-time Execution Systems.- Design and Operation of the Vaccine Distribution Supply Chain.- Bibliography.- Index.
£49.49
Springer International Publishing AG Navigating Uncertainty Using Foresight
Book SynopsisIn addition to Gen-AI, we identify that the emerging discipline of Causal AI may work better for foresight and scenario activities.The book is a valuable read for a diverse readership from the public and private sectors, spanning government, the military, law enforcement, education, industry, commerce, retail, and enterprises of all sizes.
£82.49
Springer Order Analysis Deep Learning and Connections to
Book SynopsisPreliminaries.- C Representing Functionals.- Application in Nonlinear Optimization.- Application in Vector Optimization.- Application in Set Optimization.- Basics of Deep Learning.- Deep Learning with Set-Valued Inputs.
£98.99
Springer International Publishing AG Creativity LoopsBased Decision Making
Book SynopsisThe framework consists of six steps: problem identification, idea generation, idea selection, idea development, idea implementation, and monitoring and evaluating results and feedback.Readers will learn to use the framework to solve complex problems and generate innovative ideas in any context and domain.
£35.43
Springer Handbook of Ripple Effects in the Supply Chain
Book SynopsisRipple Effect in the Supply Chain: Definitions, Frameworks and Future Research Perspectives.- A Multi-portfolio Approach to Integrated Risk-Averse Planning in Supply Chains Under Disruption Risks.- The rippling effect of supply chains as complex adaptive non-linear systems.- Bullwhip Effect of Multiple Products with Interdependent Product Demands.- Demand Shocks in Supply Networks: Ripple Effects.- Performance Impact Analysis of Disruption Propagations in the Supply Chain.- AI-Powered Supply Chain and Operations Management (SCOM): Capabilities and Challenges.- Supply chain plasticity: reshaping the future of risk management.- A Model of an Integrated Analytics Decision Support System for Situational Proactive Control of Recovery Processes in Service-Modularized Supply Chain.- Entropy-Based Analysis and Quantification of Supply Chain Recoverability.- Disruption Tails and Revival Policies in the Supply Chain.- Epidemiological Models to Predict Infection Epidemic: A Literature Review.- Managing Disruptions and the Ripple Effect in Digital Supply Chains: Empirical Case Studies.- Contingent sourcing ripples considering hoarding behaviour under supply disruptions in a three-tier supply chain.- Healthcare Supply Chain Agility and Resilience: A Relational View Perspective.- Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.
£170.99
Springer Transparency and Corporate Washing in the Age of Sustainability
Book SynopsisGreenwashing: The Misleading Strategies Underlying Environmental Claims.- Greenwashing versus Brownwashing: The Dichotomy of Exaggeration and Undue.- Modesty in Corporate Sustainability Practices. Disclosure.- Board characteristics and greenwashing: An integrated financial investigation using entropy weight and TOPSIS multicriteria decision-making.- Examining the relationship between ESG standards and corporate corruption: Greenwashing's substantial impact.- Controversies over anti-competition and anti-corruption: assessing anti-ESG variables using Entropy weight-TOPSIS methodologies in the European banking sector.
£67.49
Birkhauser Verlag AG Functional Analysis Methods for Reliability
Book SynopsisThe main goal of this book is to introduce readers to functional analysis methods, in particular, time dependent analysis, for reliability models. Understanding the concept of reliability is of key importance – schedule delays, inconvenience, customer dissatisfaction, and loss of prestige and even weakening of national security are common examples of results that are caused by unreliability of systems and individuals. The book begins with an introduction to C0-semigroup theory. Then, after a brief history of reliability theory, methods that study the well-posedness, the asymptotic behaviors of solutions and reliability indices for varied reliability models are presented. Finally, further research problems are explored.Functional Analysis Methods for Reliability Models is an excellent reference for graduate students and researchers in operations research, applied mathematics and systems engineering.Trade ReviewFrom the reviews:“The main goal of this monograph is to introduce the reader to methods of linear functional analysis useful for studying contemporary reliability models. … The book will be definitely of interest for specialists in queuing theory, in mathematical modelling of complex manufacturing systems and for all interested in applications of semigroups methods to integro-differential equations. The volume can be read by anyone with a basic knowledge of probability theory and linear functional analysis.” (Mikhail Yu. Kokurin, Zentralblatt MATH, Vol. 1223, 2011)“This book focuses on mathematical methodologies for reliability theory, with emphasis on theory and methods of functional analysis for stochastic models in reliability. … this monograph provides a detailed study of some Markov processes describing an integrated manufacturing system. The mathematical analysis is based on useful methods of functional analysis, concerning pseudo-differential operators and infinite-dimensional tridiagonal matrices.” (Antonio Di Crescenzo, Mathematical Reviews, Issue 2012 h)Table of ContentsPreface.- C0-Semigroup of Linear Operators and Cauchy Problems.- Statement of the Problems.- The System Consisting of a Reliable Machine, an Unreliable Machine and a Storage Buffer with Finite Capacity.- Transfer Line Consisting of a Reliable Machine, an Unreliable Machine and a Storage Buffer with Infinite Capacity.- Further Research Problems.- Bibliography.
£40.49
Walter de Gruyter Kosten- und Leistungsrechnung in der Spedition
Book Synopsis
£28.50
£35.19
Springer International Publishing AG Design Science Research: A Method for Science and Technology Advancement
Book SynopsisConsolidating existing knowledge in Design Science, this book proposes a new research method to aid the exploration of design and problem solving within business, science and technology. It seeks to overcome a dichotomy that exists in the field between theory and practice to enable researches to find solutions to problems, rather than focusing on the explanation and exploration of the problems themselves. Currently, researches concentrate on to describing, exploring, explaining and predicting phenomena, and little attention is devoted to prescribing solutions. Herbert Simon proposes the need to develop a Science of the Artificial (Design Science), arguing that our reality is much more artificial than natural. However, the research conducted on the Design Science premises has so far been scattered and erratic in different fields of research, such as management, systems information and engineering. This book aims to address this issue by bringing these fields together and emphasising the need for solutions. This book provides a valuable resource to students and researchers of research methods, information systems, management and management science, and production and operations management.Trade Review Table of Contents
£113.99
Springer International Publishing AG Sustainable Fashion Supply Chain Management: From Sourcing to Retailing
Book SynopsisThis handbook is a compilation of comprehensive reference sources that provide state-of-the-art findings on both theoretical and applied research on sustainable fashion supply chain management. It contains three parts, organized under the headings of “Reviews and Discussions,” “Analytical Research,” and “Empirical Research,” featuring peer-reviewed papers contributed by researchers from Asia, Europe, and the US. This book is the first to focus on sustainable supply chain management in the fashion industry and is therefore a pioneering text on this topic.In the fashion industry, disposable fashion under the fast fashion concept has become a trend. In this trend, fashion supply chains must be highly responsive to market changes and able to produce fashion products in very small quantities to satisfy changing consumer needs. As a result, new styles will appear in the market within a very short time and fashion brands such as Zara can reduce the whole process cycle from conceptual design to a final ready-to-sell “well-produced and packaged” product on the retail sales floor within a few weeks. From the supply chain’s perspective, the fast fashion concept helps to match supply and demand and lowers inventory. Moreover, since many fast fashion companies, e.g., Zara, H&M, and Topshop, adopt a local sourcing approach and obtain supply from local manufacturers (to cut lead time), the corresponding carbon footprint is much reduced. Thus, this local sourcing scheme under fast fashion would enhance the level of environmental friendliness compared with the more traditional offshore sourcing. Furthermore, since the fashion supply chain is notorious for generating high volumes of pollutants, involving hazardous materials in the production processes, and producing products by companies with low social responsibility, new management principles and theories, especially those that take into account consumer behaviours and preferences, need to be developed to address many of these issues in order to achieve the goal of sustainable fashion supply chain management. The topics covered include Reverse Logistics of US Carpet Recycling; Green Brand Strategies in the Fashion Industry; Impacts of Social Media on Consumers’ Disposals of Apparel; Fashion Supply Chain Network Competition with Eco-labelling; Reverse Logistics as a Sustainable Supply Chain Practice for the Fashion Industry; Apparel Manufacturers’ Path to World-class Corporate Social Responsibility; Sustainable Supply Chain Management in the Slow-Fashion Industry; Mass Market Second-hand Clothing Retail Operations in Hong Kong; Constraints and Drivers of Growth in the Ethical Fashion Sector: The case of France; and Effects of Used Garment Collection Programmes in Fast Fashion Brands.Table of ContentsPart I: Reviews and Discussions.- Reverse Logistics of US Carpet Recycling.- Green Brand Strategies in the Fashion Industry: Leveraging Connections of the Consumer, Brand, and Environmental Sustainability.- Impacts of Social Media Mediated Electronic Words of Mouth on Young Consumers’ Disposals of Fashion Apparel: A Review and Proposed Model.- Part II: Analytical Modeling Studies.- Fashion Supply Chain Network Competition with Ecolabelling.- Reverse Logistics as a Sustainable Supply Chain Practice for the Fashion Industry: An Analysis of Drivers and the Brazilian Case.- Part III: Empirical Studies.- Apparel Manufacturers' Path to World Class Corporate Social Responsibility.- Sustainable Supply Chain Management in the Slow-Fashion Industry.- Mass Market Second-Hand Clothing Retail Operations in Hong Kong: A Case Study.- Constraints and Drivers of Growth in the Ethical Fashion Sector: The Case of France.- Effects of Used Garment Collection Programs in Fast Fashion Brands.
£123.49
Springer International Publishing AG Sustainable Operations Management: Advances in
Book SynopsisThis book presents innovative research on various aspects of sustainability in the field of operations management and illustrates the potential of sustainability thinking and practice to improve operations performance and thereby meet customer needs. Particular attention is devoted to corporate social responsibility and marketing strategy, knowledge management for sustainability, the role of culture in a sustainable built environment, sustainable manufacturing through the application of lean and green concepts, advancing sustainability through ISO standards, and the sustainable supply chain. The present decade is proving to be a time of change in terms of business strategies and operations management. Many of the trends are still subject to uncertainty, but an understanding of the need for, and benefits of, sustainability can give a clear indication of their trajectory. Consumers and markets in general believe that while implementing their business strategies, companies should also try to improve society and the environment and to exercise social responsibility toward their employees. This book provides insights into how this may be achieved, and it is recommended for researchers as well as all practitioners and managers dedicated to enhancing sustainability in operations.Table of ContentsMarketing strategy, strategic planning and corporate social responsibility: an exploratory research.- Sustainable knowledge management and the outsourcing of core competences-Does that fit together? Initial insights from a literature review.- The role of culture in a sustainable built environment.- The management of environmental performance in the supply chain: an overview.- The measurement of environmental performance in hospitals: a systematic review of literature.- How does innovativeness foster sustainable supply chain management?.- Sustainable manufacturing: the lean and green business model.- Sustainability through eco-design: shedding light on the adoption of the ISO 14006 standard.- Early adoption of ISO 50001 standard: an empirical study.- Sustainability in Iran’s road transport sector: evaluating strategies and policies.
£80.99
Springer International Publishing AG Operational Logistics: The Art and Science of
Book SynopsisThis book explores the theoretical foundations and applications of military operational logistics (OpLog). OpLog theory has two facets: qualitative and quantitative.The qualitative facet is imbedded in the theory of operational level of war or operational art. It includes principles, imperatives and tenets, which are stated and analyzed in the first few chapters. The quantitative facet relates to the scientific aspects of OpLog. It is manifested by formal network models representing structural and operational features of an OpLog system. The book examines the two facets and integrates them into a unified presentation. Important OpLog applications a re described and discussed.Chapter 1 presents a general introduction to military logistics. Chapter 2 discusses the px;font-family: monospace;">general structure and characteristics of logistics and describes its three levels – strategic, operational and tactical. Chapter 3 describes the foundation of OpLog. Chapter 4 deals with OpLog planning. Chapter 5 addresses the issue of logistic information, and Chapter 6 deals with forecasting logistic demands. Chapters 7 and 8 are new additions to this second edition. They address logistics aspects of two contemporary operational topics – insurgencies and humanitarian assistance.Chapter 9 describes the first version of the logistic network model. Chapter 10 addresses an important OpLog characteristic – Flexibility. Chapter 11 discusses two major challenges in OpLog practice: force accumulation, 4419px; font-family: monospace;">and medical treatment and evacuation. Chapter 12 presents an inter-temporal network optimization model designed to determine deployment and employment of 3333px;font-family: monospace;">the OpLog support chain during military operations.Table of ContentsIntroduction.- Structure, Terminology and Analytic Tools.- The Foundation of Operational Logistics.- Planning.- Information.- Forecasting Logistic Demands.- Insurgency and Counterinsurgency Logistics.- Humanitarian Logistics.- The Visual Network Model.- OpLog Flexibility.- Two Critical OpLog Functions.- Optimizing Logistic Networks.
£56.99
Springer International Publishing AG Quality Control with R: An ISO Standards Approach
Book SynopsisPresenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statistical methodologies. In the interest of reaching the widest possible audience of quality-control professionals and statisticians, examples throughout are structured to simplify complex equations and data structures, and to demonstrate their applications to quality control processes, such as ISO standards. The volume balances its treatment of key aspects of quality control, statistics, and programming in R, making the text accessible to beginners and expert quality control professionals alike. Several appendices serve as useful references for ISO standards and common tasks performed while applying quality control with R. Trade Review Table of Contents
£52.49
Springer International Publishing AG Inventory Control
Book SynopsisThis third edition, which has been fully updated and now includes improved and extended explanations, is suitable as a core textbook as well as a source book for industry practitioners. It covers traditional approaches for forecasting, lot sizing, determination of safety stocks and reorder points, KANBAN policies and Material Requirements Planning. It also includes recent advances in inventory theory, for example, new techniques for multi-echelon inventory systems and Roundy's 98 percent approximation. The book also considers methods for coordinated replenishments of different items, and various practical issues in connection with industrial implementation.Other topics covered in Inventory Control include: alternative forecasting techniques, material on different stochastic demand processes and how they can be fitted to empirical data, generalized treatment of single-echelon periodic review systems, capacity constrained lot sizing, short sections on lateral transshipments and on remanufacturing, coordination and contracts. As noted, the explanations have been improved throughout the book and the text also includes problems, with solutions in an appendix.Trade Review“The book is well structured and written with care. … Numerous examples and problems to solve (given at the end of each chapter) facilitate deep understanding of the theoretical foundations and help in following the associated mathematics. A particularly attractive aspect of the presented material is its giving precise indications for the industry practitioners about application of the discussed methods and algorithms in real systems.” (Przemysław Ignaciuk, Mathematical Reviews, May, 2017)“An outstanding text in inventory control, fitting all pedagogic and scientific targets. Indispensable for researchers, doctoral students, and sophisticated practitioners and also for anybody curious and interested on the matter.” (Manuel Alberto M. Ferreira, Acta Scientia et Intellectus, Vol. 1 (3), 2015)Table of Contents
£66.49
Springer International Publishing AG Electronic Commerce 2018: A Managerial and Social
Book SynopsisThis new Edition of Electronic Commerce is a complete update of the leading graduate level/advanced undergraduate level textbook on the subject. Electronic commerce (EC) describes the manner in which transactions take place over electronic networks, mostly the Internet. It is the process of electronically buying and selling goods, services, and information. Certain EC applications, such as buying and selling stocks and airline tickets online, are reaching maturity, some even exceeding non-Internet trades. However, EC is not just about buying and selling; it also is about electronically communicating, collaborating, and discovering information. It is about e-learning, e-government, social networks, and much more. EC is having an impact on a significant portion of the world, affecting businesses, professions, trade, and of course, people.The most important developments in EC since 2014 are the continuous phenomenal growth of social networks, especially Facebook , LinkedIn and Instagram, and the trend toward conducting EC with mobile devices. Other major developments are the expansion of EC globally, especially in China where you can find the world's largest EC company. Much attention is lately being given to smart commerce and the use of AI-based analytics and big data to enhance the field. Finally, some emerging EC business models are changing industries (e.g., the shared economy models of Uber and Airbnb). The 2018 (9th) edition, brings forth the latest trends in e-commerce, including smart commerce, social commerce, social collaboration, shared economy, innovations, and mobility.Table of Contents
£142.49
Springer International Publishing AG Decision Making and Performance Evaluation Using
Book SynopsisThis book offers new transparent views and step-by-step methods for performance evaluation of a set of units using Data Envelopment Analysis (DEA). The book has twelve practical chapters. Elementary concepts and definitions are gradually built in Chapters 1-6 based upon four examples of one input and one output factors, two input factors, two output factors, and four input and three output factors. Simultaneously, the mathematical foundations using linear programming are also introduced without any prerequisites. A reader with basic knowledge of mathematics and computers is able to understand the contents of the book. In addition, to prevent pre-judgment about the available concepts and definitions in the DEA literature, some new phrases are introduced and, after elucidating each phrase in detail in Chapters 1-6, they are reintroduced for industry-wide accuracy in Chapter 7. After that, some of the more advanced DEA topics are illustrated in Chapters 8-12, such as: production-planning problems, output-input ratio analysis, efficiency over different time periods, Malmquist efficiency indexes, and a delta neighborhood model.A clear overview of many of the elementary and advanced concepts of DEA is provided, including Technical Efficiency, Relative Efficiency, Cost/Revenue/Profit Efficiency, Price/Overall Efficiency, the DEA axioms, the mathematical background to measure technical efficiency and overall efficiency, the multiplier/envelopment form of basic DEA models in input/output-orientation, the multiplier/envelopment of Additive DEA model, the multiplier/envelopment of slacks-based models, and others. The book also covers a variety of DEA techniques, input-output ratio analysis, the natural relationships between DEA frontier and the ratio of output to input factors, production-planning problems, planning ideas with a centralized decision-making unit, context-dependent DEA, Malmquist efficiency index, efficiency over different time periods, and others. End-of-chapter exercises are provided for each chapter.Table of ContentsPreface.- Chapter 1. The Gemstone Example.- Chapter 2. Possibility and Practicability.- Chapter 3. The Petroleum Example.- Chapter 4. The optimization approach.- Chapter 5. The Airport Example.- Chapter 6. The Delta Neighborhood.- Chapter 7. Data Envelopment Analysis.- Chapter 8. The Ratio of Output to Input Factors.- Chapter 9. Production Planning Problem.- Chapter 10. Context-Dependent DEA.- Chapter 11. Efficiency Change Over Different Time.- Chapter 12. Delta Neighborhood Extension.
£89.99
Springer International Publishing AG Supply Chain Finance: Integrating Operations and
Book SynopsisThis textbook presents a coherent and robust structure for integrated risk management in the context of operations and finance. It explains how the operations-finance interface jointly optimizes material and financial flows under intricate risk exposures. The book covers financial flexibility, operational hedging, enterprise risk management (ERM), supply chain risk management (SCRM), integrated risk management (IRM), supply chain finance (SCF), and financial management of supply chain strategies. Both qualitative and quantitative approaches – including conceptualization, theory building, analytical modeling, and empirical research – are used to assess the value creation by integrating operations and finance. “This book provides a comprehensive description of the interactions between finance and operations and of how managers can best make decisions in recognition of these effects.” John R. Birge, University of Chicago“Supply chain finance is an emerging area where innovations can unlock great values to complement the advances in information and physical flows of supply chain.” Hau L. Lee, Stanford University“This book provides an excellent overview of supply chain finance and its most recent advances.” Jan A. Van Mieghem, Northwestern University“This book is indispensable for advanced students as well as practitioners when looking for a pedagogical sound and scientific rigorous approach to Supply Chain Finance.” Ralf W. Seifert, IMD/EPFL“The book advances our knowledge on the interface between operations and finance and provides managerial guidelines for effective risk management in the supply chain.” Xiande Zhao, CEIBSTrade Review“The book provides a comprehensive description of the interactions between finance and operations in the management of firms by also providing tools for best making decisions in the field. … The book can be very useful for students, practitioners and academics, as well as researchers and global managers, who can find in it valuable insights and directions for further investigation.” (Doina Carp, zbMATH 13.93.90.003m, 2018)Table of ContentsIntroduction to Operations-finance Interface.- Capital Structure and Financial Risk Management.- Supply Chain Risk Management.- Integrated Risk Management in Multinational Corporations.- Integrated Risk Management with Capacity Reshoring.- Supply Chain Finance.- Managing Supplier Financial Risk with Pre-shipment Finance Instruments.- Research Overview of Operations-finance Interface.
£74.99
Springer International Publishing AG Elements of Manufacturing, Distribution and
Book SynopsisThis book describes a variety of quantitative methods that are vital to planning and control in the operations of the industrial world, from suppliers to manufacturing plants to distribution centers and to the dealers and stores. The topics include: forecasting, measuring forecast error, determining the order quantity, safety stock, when and how much inventory to replenish, all this for individual items and for a distribution network where the items are housed in multiple locations. Further quantitative methods are: manufacturing control, just-in-time, assembly, statistical process control, distribution network, supply chain management, transportation and reverse logistics. The methods are proven, practical and doable for most applications. The material in Elements of Manufacturing, Distribution and Logistics presents topics that people want and should know in the work place. The presentation is easy to read for students and practitioners. There is little need to delve into difficult mathematical relationships, and numerical examples are presented throughout to guide the reader on applications. Practitioners will be able to apply the methods learned to the systems in their locations, and the typical professional will want the book on their bookshelf for reference. Everyone in professional organizations like APICS, DSI and INFORMS; MBA graduates, people in industry, and students in management science, business and industrial engineering will find this book valuable.Table of ContentsForecasting.- Forecast Error.- Order Quantity.- Safety Stock.- Replenishments.- Distribution Control.- Manufacturing Control.- Just-in-Time.- Assembly.- Statistical Process Control.- Distribution Network.- Supply Chain Management.- Transportation.- Reverse Logistics.
£94.99
Springer International Publishing AG An Introduction to Metaheuristics for
Book SynopsisThe authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies. This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.Trade Review“I would recommend this book for students in the area of operations research, but also for students and professionals from other fields (like natural sciences or social sciences) who would like not only to apply metaheuristics to solve the problems … but also to understand how they work.” (Marcin Anholcer, zbMATH 1427.90001, 2020)Table of ContentsProblems, Algorithms, Computational Complexity.- Search Space.- Tabu Search.- Simulated Annealing.- Ant Colony Optimization (ACO).- Non-PSO Optimization.- Firefly Algorithm, Cuckoo Algorithm, Lévy Flights.- Evolutionary Algorithms: Foundations.- Evolutionary Algorithms: Advanced.- Phase Transition in Optimization Problems.- Performance and Limitations of Metaheuristics.- Statistical Analysis of Research Spaces.
£40.49
Springer International Publishing AG Aligning Business Strategies and Analytics:
Book SynopsisThis book examines issues related to the alignment of business strategies and analytics. Vast amounts of data are being generated, collected, stored, processed, analyzed, distributed and used at an ever-increasing rate by organizations. Simultaneously, managers must rapidly and thoroughly understand the factors driving their business. Business Analytics is an interactive process of analyzing and exploring enterprise data to find valuable insights that can be exploited for competitive advantage. However, to gain this advantage, organizations need to create a sophisticated analytical climate within which strategic decisions are made. As a result, there is a growing awareness that alignment among business strategies, business structures, and analytics are critical to effectively develop and deploy techniques to enhance an organization’s decision-making capability. In the past, the relevance and usefulness of academic research in the area of alignment is often questioned by practitioners, but this book seeks to bridge this gap.Aligning Business Strategies and Analytics: Bridging Between Theory and Practice is comprised of twelve chapters, divided into three sections. The book begins by introducing business analytics and the current gap between academic training and the needs within the business community. Chapters 2 - 5 examines how the use of cognitive computing improves financial advice, how technology is accelerating the growth of the financial advising industry, explores the application of advanced analytics to various facets of the industry and provides the context for analytics in practice. Chapters 6 - 9 offers real-world examples of how project management professionals tackle big-data challenges, explores the application of agile methodologies, discusses the operational benefits that can be gained by implementing real-time, and a case study on human capital analytics. Chapters 10 - 11 reviews the opportunities and potential shortfall and highlights how new media marketing and analytics fostered new insights. Finally the book concludes with a look at how data and analytics are playing a revolutionary role in strategy development in the chemical industry.Table of ContentsChapter 1: Aligning Business Strategies and Analytics: Bridging Between Theory and Practice.- Chapter 2: Cognitive Computing: Impacts on Financial Advice in Wealth Management.- Chapter 3: Living or Dying in the Mashup of American Financial Services: Literate Does Not Mean Competent.- Chapter 4: Improving Fleet Management Strategy and Operational Intelligence with Predictive Analytics.- Chapter 5: Aligning Data Analytics and Supply Chain Strategy in the Biopharmaceutical Industry.- Chapter 6: Importance of Project Management in Business Analytics: Academia and Real-world.- Chapter 7: A Review and Future Direction of Business Analytics Project Delivery.- Chapter 8: Aligning Operational Benefits of Big Data Analytics and Organizational Culture at WellSpan Health.- Chapter 9: HR Analytics: Human Capital Return on Investment, Productivity and Profit Sensitivity: A Case of Courtyard Marriott Newark at the University of Delaware.- Chapter 10: Delivering Internal Business Intelligence Services: How Different Strategies Allow Companies to Succeed by Failing Fast.- Chapter 11: Aligning Analytics with Marketing Strategy: Using Analytics to Drive Marketing Strategy with New Media Applications.- Chapter 12: Aligning Data Analytics and Strategy in the Chemical industry.
£98.99
Verlag Herder Generation Verantwortung: Wenn Eigentum
Book Synopsis
£22.50
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Operations Research Proceedings 2002: Selected
Book SynopsisThis volume contains selected papers presented at the International Conference on Operations Research SOR 2002 held at the University of Klagenfurt from Sep- tember 2 to September 5, 2002. The conference was organized under the auspices of the German, the Swiss and the Austrian Operations Research societies - Gesellschaft fiir Operations Research e.V. (GOR) - Schweizerische Vereinigung fiirOperations Research (SVOR) - Osterreichische Gesellschaft fiirOperations Research (OGOR). After Vienna (1990), Berlin (1994) and Ziirich (1998) this has been the fourth time that the three societies organized ajoint conference. The conference was attended by more than 400 participants from countries all over the world which demonstrates the broad interest in all aspects ofOperations Research. The scientific program of the conference consisted of 4 plenary lectures, 5 semi plenary lectures, and about 320 contributed papers which have been presented in 16 sections. Due to the limited number of pages available for the proceedings vol- ume, the length of each article as well as the total number ofcontributions had to be restricted. The decision on the acceptance of papers for the proceedings has been made in close eo operation with the section chairmen and was based on their suggestions. We wish to express our sincere thanks to the chairmen for supporting our editorial work by refereeing the manuscripts and letting us have their advice. We also would like to thank Dr. Wemer Muller from Springer-Verlag for his support in publishing this proceedings volume so quickly.Table of ContentsThe Role of Operations Research in Public Policy.- Risk-Return Optimization of the Bank Portfolio.- Resource-orientated Purchase Planning and Supplier Selection - Models and Algorithms for Supply Chain Optimization and E-Commerce.- A Combinatorial Approach to Orthogonal Placement Problems.- Assigning Frequencies in GSM Networks.- Optimal Control of Methadone Treatment in Preventing Blood-Borne Disease.- Strategien zur Rüstzeitvermeidung in der Elektronikfertigung.- Optimale Belegung von Stranggießanlagen mittels 2-dimensionaler Bin-Packing-Modelle.- Short-term Capacity Planning in Manufacturing Companies with a Decentralized Organization.- Performance Analysis of Make to Stock Supply Chains Using Discrete-Time Queueing Models.- A New Optimal Demand Forecast Model.- A Multi-Product Batch-Available-to-Promise Model for Make-to Stock Manufacturing.- Scheduling of Rolling Ingots Production.- Determination of Economic Production Quantity for a Multi-Stage Production System with Limited Storage Capacity.- A Reverse Logistics Model with Integer Setup Numbers.- Lotsizing in a Production System with Rework and Product Deterioration.- Mathematical Programming Models for Strategic Supply Chain Planning and Design.- Ein dynamisches Verhandlungsmodell des Supply Chain Management.- Modeling the Interaction between Operational and Financial Decisions in the Inventory Pooling of Repairable Spare Parts Problem.- Die Schätzung von Markentreue, Nichtkäuferanteil und Marktpotenzial aus Handelspaneldaten.- A Conjugate Direction Frank-Wolfe Method with Applications to the Traffic Assignment Problem.- Online-Algorithmus zur Steuerung von Verkehrslichtsignalanlagen.- Optimal Sorting Machine Allocation in the Postal Distribution Network.- A Combined Approach to Solve the Pickup and Delivery Selection Problem.- VRP with Interdependent Time Windows - A Case Study for the Austrian Red Cross Blood Program.- Incident Management Based on Real Time Simulation.- Online-Dispatching of Automobile Service Units.- Multi-Class User Equilibria under Social Marginal Cost Pricing.- School Bus Rooting and Scheduling Problem.- Covering Population Areas by Railway Stops.- Innovative Lösungen im bimodalen Transport Straße I Binnenstraße.- Optimal Routing of Snowplows - A Column Generation Approach.- Savings Based Ants for Large-scale Vehicle Routing Problems.- Single Machine Scheduling Problems with Exponentially Start Time Dependent Job Processing Times.- Scheduling Problems with Optimal Due Interval Assignment Subject to Some Generalized Criteria.- A New Exact Resource Allocation Model with Hard and Soft Ruource Constraints.- Minimizing Total Weighted Tardiness on Parallel Batch Process Machinu Using Genetic Algorithms.- Sorting with Line Storage Systems.- On Solvability of the Project Scheduling Problem with Accumulative Resources of an Arbitrary Sign.- Cost Optimized Layout of Fibre Optic Networks In the Access Net Domain.- Ein Algorithmus zur sicheren elektronischen Stimmabgabe Ober das Internet.- Accelerated MILP-Strategies for the Optimal Operation Planning of Energy Supply System.- On On-line Systems for Short-term Forecasting for Energy Systems.- Combining Bottom-up and Finance Modelling for Electricity Markets.- Gestaltung von Stoffstrom-Netzwerken zum Produktrecycling.- Ein Ansatz zur Bewertung von Remanufacturingstrategien.- Environmental Coordination of Supply Chain Networks Based on a Multi-Agent System.- Decision Support for the National Implementation of Emission Reduction Measures by the Dynamic Mass Flow Optimisation Model ARGUS.- Fuzzy Scheduling for the Dismantling of Complex Products.- Group Decision Making Versus Expert Opinion in the Multi-Objective Analysis of Ecosystem Management.- Capital Market Efficiency - An Empirical Analysis of the Dividend Announcement Effect for the Austrian Stock Market.- On Tail Index Estimation and Financial Risk Management Implications.- Project Risk Management by a Probabilistic Expert System.- Regulatory Impacts on Credit Portfolio Management.- Verfahren zur Risikokapitalallokation im Eigenhandel von Banken.- Process Optimization via Conventional Factorial Designs and Simulated Annealing on the Path of Steepest Ascent for a CSTR.- Optimization on Directionally Convex Sets.- Meta-Heuristiken in Virtuellen Lernumgebungen.- An Evolutionary Algorithm for Bayesian Network Triangulation.- Approximation Algorithms for the k-center Problem: An Experimental Evaluation.- MaxFlow-MinCut Duality for a Paint Shop Problem.- From Edge Decomposition Formulae to Composition Algorithms.- The Complexity of Some Problems on Maximal Independent Sets in Graphs.- Testing Solution Quality in Stochastic Programs.- Scenario Updating Method for Stochastic Mixed-integer Programming Problems.- Pricing of Multidimensional Resources in Revenue Management.- A Note on Quantitative Stability and Empirical Estimates in Stochastic Programming.- Splitting and Localization of the Epi-Topology Combined with Randomness.- Standards für Modellierung und Simulation.- System Dynamics(SD) - An Approach within Corporate Plannning.- Optimal Decision Rules in a Monetary Union.- Impact of Feedback Loop on Group Decision Process when Applying System Dynamics Simulators.- The Management Game SINTO-Market - Report on Some Recent Experiments.- Bounds & Likelihood Procedure Revisited.- On the Allocation of Excesses of Resources in Linear Production Problems.- Simulation eines CO2-Zertifikatenhandels und algorlthmische Optimierung von Investitionen.- Indirect Expenditure Functions and Shephard’s Lemma.- Bayesian Estimation of the Heston Stochastic Volatility Model.- Forecasting with Leading Economic Indicators - A Neural Network Approach.- Estimating Multivariate Conditional Distributions - An Application to the Truck Sales Forecast.- Application of Techniques of Functional Data Analysis to Spectroscopic Data.- Integrating Exchange Rate Theory in Data Mining.- The Ability of Artificial Neural Networks to Exploit Non-Linearitles by Data Mining Models Compared to Statistical Methods.- Preference Measurement with Conjoint Analysis and AHP: An Empirical Comparison.- Further Development of MADM-Approaches in China and in Germany.- Wissensrevision in einer MaxEnt/MinREnt-Umgebung.- Innovation, Operations Research & Decision Support In the Military.- Von der Prädlkatenloglk zur unternehmerischen Entscheidungsunterstützung.
£123.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Operations Research: Eine Einführung
Book SynopsisDas vorliegende Buch liefert eine Einführung in das Gebiet des Operations Research und ist primär für Studenten nicht-mathematischer Fachrichtungen, insbesondere für Wirtschaftswissenschaftler gedacht. Es werden jedoch auch Mathematiker angesprochen, die sich einen einführenden methodischen Überblick über das Gesamtgebiet verschaffen wollen. Dem Praktiker werden die Ausführungen helfen, Möglichkeiten und Grenzen des praktischen Einsatzes von OR-Verfahren zu beurteilen. Durch die anschauliche, leicht verständliche und durch viele Grafiken unterstützte Darstellung soll der mathematisch weniger geübte Leser angesprochen werden. Dabei wird nicht nur die Lineare Optimierung (einschließlich der Sensitivitätsanalyse und der Ganzzahligen Optimierung) behandelt. Es wird ebenfalls eine Einführung in die Nichtlineare Optimierung und in die Dynamische Optimierung gegeben. Die dargestellten Verfahren werden ausführlich in jedem Schritt erläutert. Table of Contents1 Einführung.- 1.1 Entwicklung und Begriff des Operations Research.- 1.1.1 Entscheidungsvorbereitung.- 1.1.2 Optimierung der angestrebten Lösung.- 1.1.3 Verwendung mathematischer Methoden.- 1.1.4 Die Bedeutung der EDV bei der Anwendung von OR.- 1.2 Einsatzbereiche des Operations Research.- 1.3 Problemtypen des Operations Research.- 1.3.1 Kombinatorische Probleme.- 1.3.2 Lagerhaltungsprobleme.- 1.3.3 Ersatzprobleme.- 1.3.4 Wartezeitprobleme.- 1.3.5 Konkurrenzprobleme.- 1.4 Verfahren des Operations Research.- 1.4.1 Statische Optimierung.- 1.4.1.1 Lineare Optimierung.- 1.4.1.2 Nichtlineare Optimierung.- 1.4.1.3 Ganzzahlige und gemischt-ganzzahlige Optimierung.- 1.4.2 Dynamische Optimierung.- 1.4.3 Entscheidungsbaumverfahren.- 1.4.4 Netzplantechnik.- 1.4.5 Warteschlangentheorie.- 1.4.6 Spieltheorie.- 1.4.7 Simulation.- 1.4.8 Heuristische Verfahren.- 2 Grundlagen der Linearen Optimierung.- 2.1 Optimales Produktionsprogramm.- 2.1.1 Graphische Lösung.- 2.1.2 Simplexmethode.- 2.2 Mischungsproblem (zulässige Ausgangslösung).- 2.3 Das allgemeine lineare Programm und Sonderfälle.- 2.3.1 Das allgemeine lineare Programm.- 2.3.2 Nichtexistenz einer zulässigen (Basis-) Lösung.- 2.3.3 Nichtexistenz einer endlichen Optimallösung.- 2.4 Zusammenfassende Darstellung der Simplexmethode anhand eines Beispiels.- 2.5 Dualität.- 2.6 Die Lösung eines Problems der Linearen Optimierung mit dem PC.- 2.6.1 Eingabe und Ausgabe (formalproblemnah).- 2.6.2 Eingabe und Ausgabe (realproblemnäher).- 3 Verfahren zur Lösung des Transportproblems.- 3.1 Beispiel zum klassischen Transportproblem.- 3.2 Allgemeine Darstellung des klassischen Transportproblems.- 3.3 Lösung nach der Stepping-Stone-Methode.- 3.4 Modi-Methode.- 3.5 Entartung.- 3.6 Vergleich von Stepping-Stone-Methode und Simplexmethode.- 3.7 Erweiterungen des Transportmodells.- 3.7.1 Angebot größer als Nachfrage.- 3.7.2 Nachfrage größer als Angebot.- 3.7.3 Unterschiedliche Produktionskosten.- 4 Sensitivitätsanalyse in der Linearen Optimierung.- 4.1 Aufgaben der Sensitivitätsanalyse.- 4.2 Graphische Betrachtungen zur Sensitivitätsanalyse.- 4.2.1 Änderung des Deckungsbeitrags eines Produkts (eines Zielfunktionskoeffizienten).- 4.2.2 Gradientenbetrachtung bei Deckungsbeitragsänderungen.- 4.2.3 Änderung einer Faktormenge (eines Werts auf der rechten Seite).- 4.3 Beziehungen zwischen Anfangs-und Endtableau.- 4.3.1 Beziehungen für die Zielfunktionszeile.- 4.3.2 Beziehungen für die Zeilen der Nebenbedingungen.- 4.3.3 Formale Darstellung der Beziehungen zwischen.- Anfangs-und Endtableau.- 4.4 Analytische Sensitivitätsanalyse.- 4.4.1 Änderung von Kapazitäten (von Werten auf der rechten Seite).- 4.4.2 Änderungen der Deckungsbeiträge einzelner Produkte (der Zielfunktionskoeffizienten).- 4.4.2.1 Deckungsbeitragsänderungen bei einem der im optimalen Produktionsprogramm nicht enthaltenen Produkte.- 4.4.2.2 Deckungsbeitragsänderungen bei einem der im optimalen Produktionsprogramm enthaltenen Produkte.- 4.4.3 Änderung einzelner Produktionskoeffizienten (von Koeffizienten auf der linken Seite der Restriktionen).- 4.4.4 Einführung eines neuen Produkts (einer neuen Strukturvariablen).- 4.4.5 Auftreten zusätzlicher Beschränkungen.- 4.5 Zusammenfassende ökonomische Interpretation der Größen eines Simplextableaus für ein Programmplanungsproblem.- 4.6 Sensitivitätsanalyse innerhalb eines Tabellenkalkulations-programms auf dem PC.- 5 Ganzzahlige Lineare Optimierung.- 5.1 Einführung.- 5.2 Lösungsverfahren.- 5.2.1 Das Cutting Plane-Verfahren von Gomory.- 5.2.1.1 Beschreibung des Verfahrens.- 5.2.1.2 Ableitung der Schnittrestriktionen.- 5.2.1.3 Auswahl einer optimalen Schnittbedingung.- 5.2.1.4 Anwendung des Verfahrens.- 5.2.2 Das Branch and Bound-Verfahren von Dakin.- 5.2.2.1 Das Branch and Bound-Prinzip.- 5.2.2.2 Der Ablauf des Verfahrens von Dakin.- 5.2.2.3 Rechenschritte zum Algorithmus von Dakin.- 6 Nichtlineare Optimierung.- 6.1 Einführung.- 6.1.1 Allgemeine Formulierung eines nichtlinearen Optimierungsmodells.- 6.1.2 Das Problem der Programmplanung als Anwendungsbeispiel zur Nichtlinearen Optimierung.- 6.1.3 Graphische Darstellung eines konkreten quadratischen Programmplanungsproblems.- 6.2 Grundlagen der Nichtlinearen Optimierung.- 6.2.1 Klassifikation nichtlinearer Optimierungsmodelle.- 6.2.1.1 Konvexität von Mengen und Funktionen.- 6.2.1.2 Konvexe Optimierungsmodelle und ihre Eigenschaften.- 6.2.1.3 Quadratische Optimierungsmodelle.- 6.2.1.4 Zusammenfassende Klassifikation von NLO-Modellen.- 6.2.2 Optimalitätsbedingungen: Das Kuhn-Tucker-Theorem.- 6.2.2.1 Darstellung und Bedeutung der Kuhn-Tucker-Bedingungen.- 6.2.2.2 Darstellung der Kuhn-Tucker-Bedingungen am Zahlenbeispiel.- 6.3 Verfahren der Nichtlinearen Optimierung.- 6.3.1 Überblick.- 6.3.2 Das Verfahren von Wolfe.- 6.3.3 Gradientenverfahren.- 6.3.3.1 Einführung.- 6.3.3.2 Das Grundkonzept der Gradientenverfahren.- 6.3.3.3 Das Verfahren der projizierten Gradienten von Rosen.- 6.3.4 Das Verfahren SUMT.- 7 Dynamische Optimierung.- 7.1 Grundbegriffe der Dynamischen Optimierung.- 7.2 Das Produktionsglättungsproblem als Anwendungsbeispiel zur Dynamischen Optimierung.- 7.3 Erweiterungen.- 8 Literaturverzeichnis.- 9 Sachverzeichnis.
£20.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Risk and Asset Allocation
Book SynopsisDiscusses in the practical and theoretical aspects of one-period asset allocation, i.e. market Modeling, invariants estimation, portfolia evaluation, and portfolio optimization in the prexence of estimation risk The book is software based, many of the exercises simulate in Matlab the solution to practical problems and can be downloaded from the book's web-siteTrade ReviewFrom the reviews: This exciting new book takes a fresh look at asset allocation and offers up a masterly account of this important subject. The quantitative emphasis and included MATLAB software make it a must-read for the mathematically oriented investment professional. Peter Carr, Head of Quantitative Research, Bloomberg LP, Director of Masters in Mathematical Finance program, NYU Meucci’s Risk and Asset Allocation is one of those rare books that takes a completely fresh look at a well-studied problem, optimal financial portfolio allocation based on statistically estimated models of risk and expected return. Designed for graduate students or quantitatively oriented asset managers, Meucci provides a sophisticated and integrated treatment, from investment theory, to optimization methods, to statistical analysis of multi-variate return data, through computational implementation of the results. This is rigorous and relevant! Darrel Duffie, Professor of Graduate Business School, Stanford University A wonderful book! Mathematically rigorous and yet practical, heavily illustrated with graphs and worked examples, Attilio Meucci has written a comprehensive treatment of asset allocation starting from statistical concepts, covering investment primitives, and leading to portfolio optimization in a Bayesian context with parameter uncertainty. Bob Litterman, Head of Quantitative Resources, Goldman Sachs Asset Management This book takes the reader on a journey through portfolio management starting with the basics and reaching some fascinating terrain. Attilio Meucci shows a real talent for explaining the most difficult of subjects in a very clear manner. Paul Wilmott, wilmott.com "This book presents a detailed and well-explained introduction to one-period asset allocation techniques … . the book gives an impressive and comprehensive introduction to static one-period asset allocation. It explains most of the concepts intuitively and with a minimal mathematical machinery. … For practitioners, the book serves as a theoretical basis of their actual work. For students of finance and economics it gives a self-contained overview of the main quantitative concepts in the subject." (Ludger Overbeck, SIAM Review, Vol. 48 (3), 2006) "This book delves into the classical mathematics of portfolio optimization with a few nods to more recent developments in risk measurement such as value-at-risk and copulas. … For anyone with an interest in the mathematics of portfolio optimization, the book is certainly worth a look. … The author covers a wealth of statistical and optimization techniques that are worth reading about." (www.riskbook.com, May, 2006) "The book offers a wide exposition of the main approaches to asset allocation, starting from the classical models up to the recent developments in portfolio management. … By virtue of the sequential structure of the subjects and the simple but efficacious mathematical treatment, the monograph is useful for graduate students and quantitatively-oriented practitioners too. … The book is complemented by online resources, consisting of software applications performed by MATLAB … ." (Emilia Di Lorenzo, Zentralblatt MATH, Vol. 1102 (4), 2007)Table of ContentsThe statistics of asset allocation.- Univariate statistics.- Multivariate statistics.- Modeling the market.- Classical asset allocation.- Estimating the distribution of the market invariants.- Evaluating allocations.- Optimizing allocations.- Accounting for estimation risk.- Estimating the distribution of the market invariants.- Evaluating allocations.- Optimizing allocations.
£94.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Entscheidungstheorie: Klassische Konzepte und
Book SynopsisDieses Buch vermittelt eine präskriptive Entscheidungstheorie für die Praxis. Dazu werden zunächst die klassischen Entscheidungskonzepte für Ein-, Mehrziel- und Gruppenentscheidungen gut verständlich eingeführt und gezeigt, wie unter den Rahmenbedingungen Sicherheit, Risiko oder Unsicherheit im engeren Sinne Entscheidungsprobleme gelöst werden können. Darauf aufbauend wird diskutiert, wie diese Modelle den realen Gegebenheiten in Gestalt beschränkt rationalen Verhaltens und unvollkommener und unscharfer Informationen angepaßt werden können. Eine Lösung des Informationsdilemmas sehen die Autoren in der Verwendung von Fuzzy-Entscheidungsmodellen. Zahlreiche Beispiele erleichtern dem Leser das Verständnis der vorgestellten Methoden oder unterstützen die Argumentationen.Table of Contents1. Eine präskriptive Entscheidungstheorie für die Praxis.- 2. Einzielentscheidungen mit einem Szenarium.- 3. Einzielentscheidungen mit mehreren Szenarien.- 4. Entscheidungen bei mehreren Zielen.- 5. Entscheidungen in Gruppen.- Lösungen.- Anhang: Grundlagen der Fuzzy-Mengen-Theorie.- Stichwortverzeichnis.
£27.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Operations Research Proceedings 2001: Selected
Book SynopsisThis volume contains the proceedings of the 200 I International Conference on Operations Research (OR 2(01) held at the Gerhard-Mercator-University Duisburg, September 3-5,2001. OR 200 1 was organized under the auspices of the German Society of Operations Research, Gesellschaft für Operations Research (GOR e. V.). The conference and the annual general meeting were attended by 360 participants from 20 countries. The presentation of 220 papers was organized in 15 sections. According to Duisburg as hosting city for this event OR 200 1 emphasized on contributions of OR in the areas of energy, transport and traftk. The program consisted of2 plenary lectures (Reinhard Selten and Jörg Hennerkes) and 15 invited semiplenary lectures. 97 papers were submitted for publication. Following the advice of the section chairs the program committee decided to accept 59 papers for this volume. The selected manuscripts will be published also in electronic form on the W orld Wide Web at http://www.uni-duisburg.de/or200 1. We want to thank all referees and authors for delivering their final manuscript in due time. We are also grateful to the other members of the local organizing committee and especially to Stefan Krebs, Corinna Schu and David Betge for the perfect conference management. Roland Düsing, Ralph Gollmer and Steffen Stock supported us in editing the abstracts and the final version of this proceeding volume. Last but not least thanks to all the assistants and student assistants for their operations on OR 2001 in Duisburg.Table of ContentsRouting a Fleet of Vehicles for Dynamic Combined Pick-up and Deliveries Services.- Simulating Delays for Realistic Time-Table Optimization.- Was kann Operations Research für die Verkehrstelematik leisten?.- Some Practical Aspects of Periodic Timetabling.- Pickup & Delivery-Probleme mit Umlademöglichkeit. Ein Tourenplanungsproblem aus der Automobilzulieferindustrie.- Zentrale Datenbasis im Energiehandel.- Der Einsatz der Clusteranalyse zur Definition von Referenzanlagen.- MESAP/Times — Advanced Decision Support for Energy and Environmental Planning.- Modellierung und Implementierung von Stammdaten für die Demontageplanung und -Steuerung mit ERP-Systemen.- Energy/Environmental Modeling with the MARKAL Family of Models.- Decision Trees with Parametric Enlarged Local Search.- Acquisition of High-Value Customers for Automotive Banks.- Quantitative Entscheidungsunterstützung für das Preismanagement von TK-Dienstleistungen.- The Estimation of Market Volumes.- Strategies for Capacity Planning in a Complex Production System.- A Simple Queueing Model for the Estimation of Man Machine Interference in Semiconductor Wafer Fabrication.- Optimal Coordination of Manufacturing and Remanufacturing Decisions in Case of Product Substitution.- Planning Sales Territories — A Facility Location Approach.- Eine spieltheoretische Analyse von Zulieferer-Abnehmer-Beziehungen auf Basis des JELS-Modells.- Ein bedingtes Mehrfaktorenmodell zur Quantifizierung der Renditen von Bankaktien auf dem deutschen Kapitalmarkt.- Optimization of European Double-Barrier Options via Optimal Control of the Black-Scholes-Equation.- How to Incorporate Estimation Risk into Markowitz Optimization.- Risk-/Return-orientierte Optimierung des Gesamtbank-Portfolios unter Verwendung des Conditional Value at Risk.- Optimal Properties for Scheduling Deteriorating Jobs for the Total Completion Time Minimization.- Bicriterion Approach to a Single Machine Time-Dependent Scheduling Problem.- Multi-machine Scheduling Problem with Optimal Due Interval Assignment Subject to Generalized Sum Type Criterion.- Storage Problems in Batch Scheduling.- Eine Entscheidung auf Leben und Tod: Decision Support für AIDS-Kontroll-Programme in Ostafrika.- Facilities Layout for Social Institutions.- Slice Models in GAMS.- On Optimal Control of Heating Processes.- On the Relations Between Different Dual Problems in Convex Mathematical Programming.- Total Weighted Completion Time Minimization in a Problem of Scheduling Deteriorating Jobs.- Sensitive Analysis of a Vector Quadratic Lexicographic Boolean Programming Problem.- Some Relations Between Consecutive Ones and Betweenness Polytopes.- Solving One-Dimensional Cutting Stock Problems with Multiple Stock Material Lengths Using Cutting Plane Approach.- Computational Problems that can be Solved Without Computations.- Partitions-requirements-matrices.- On-Line Simulation of Large Scale Networks.- Process-Identification and Optimization of Technical Investments with TEM ?. Bubbles, Quelros and Environmental Management.- Economic Growth, Emission Reduction and the Choice of Energy Technology in a Dynamic-Game Framework.- Measuring Credit Risk: Can we Benefit from Sequential Nonparametric Control?.- Die rationale Marketing-Mix Entscheidung bei vager Kenntnis einzelner Instrumentwirkungen.- Investitionsentscheidungen bei mehrfachen Zielsetzungen und künstliche Ameisen.- Experience-Based Decision Making and Learning from Examples.- Vektoroptimierung bei korrelierten Zielen.- Relevanz von Information in konditionalen Entscheidungsmodellen.- Bestimmung der Gewichte bei Mehrzielentscheidungen. Eine vergleichende Analyse ausgewählter Verfahren.- Wissen ist meßbar.- Constraint Satisfaction by Means of Dynamic Polyhedra.- Multi-Agent FX-Market Modeling by Neural Networks.- Zeitoptimierte Assoziationsanalyse durch Stichprobenauswahl dargestellt am Beispiel aus der Telekommunikationsbranche.- A Metaheuristic-based DSS for Portfolio Optimization.- Kritische Erfolgsfaktoren für die Erstellung universitärer Multimediakurse — mit einem Beispiel aus dem Bereich OR.- Integration von OR-Modellen in die Logistikausbildung: Bearbeitung von Fallbeispielen mit einem Softwarepaket für Studenten.- A Survey of Educational Resources on the Internet.- Internet-based Exercises and Mini-exams for Production and Operations Management.- Mathematische Optimierung zur Unterstützung kundenorientierter Disposition im Schienenverkehr.- Anlagenbelegungsplanung in der Prozeßindustrie.- List of Authors and Coauthors.
£42.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Multi-Criteria Analyse: Einführung in die Theorie der Entscheidungen bei Mehrfachzielsetzungen
Table of ContentsI: Grundlagen.- Einführung in die allgemeine Entscheidunqstheorie.- 1.1 Entscheidungslogik.- 1.2 Deskriptive Entscheidungstheorie.- Literatur zu § 1.- § 2 Elemente der Meßtheorie und der Nutzentheorie.- 2.1 Messen und Maßskalen.- 2.1.1 Skalenniveaus.- 2.1.2 Meßmethoden.- 2.2 Elemente der Nutzentheorie.- 2.2.1 Ordnungsrelationen.- 2.2.2 Sätze über die Existenz einer Nutzenfunktion.- Literatur zu § 2.- § 3 Multi-Criteria-Entscheidungen.- 3.1 Abgrenzung des Problems.- 3.2 Prozeßcharakter der Entscheidung.- 3.3 Klassifizierung von Multi-Criteria-Entscheidungen.- 3.3.1 Klassifikation von einigen klassischen MADM-Methoden.- 3.3.2 Klassifikation von entscheidungstechnologischen Ansätzen.- 3.3.3 Klassifikation von MODM-Methoden.- Literatur zu § 3.- II: Klassische MADM-Ansätze.- § 4 Grundbeqriffe des MADM.- 4.1 Lösungsbegriffe.- 4.2 Zielerreichungsmatrix.- 4.3 Normierung.- Literatur zu § 4.- § 5 Entscheiden ohne Information über Präferenzen.- 5.1 Dominanz-Strategie.- 5.2 Maximin-Strategie.- 5.3 Maximax-Strategie.- Literatur zu § 5.- § 6 Entscheiden mit Anspruchsniveaus oder ordinaler Attribut-Information.- 6.1 Entscheiden bei gegebenen Anspruchsniveaus.- 6.1.1 Konjunktives Vorgehen.- 6.1.2 Disjunktives Vorgehen.- 6.2 MADM bei ordinaler Information über die Attribute.- 6.2.1 Lexikographische Methode.- 6.2.2 Lexikographische Methode mit Halbordnung.- 6.2.3 Aspektweise Elimination.- Literatur zu § 6.- § 7 Methoden bei kardinaler Attribut-Information.- 7.1 Bestimmung von Gewichten.- 7.1.1 Der Gewichtevektor.- 7.1.2 Methode der gewichteten kleinsten Quadrate.- 7.1.3 Saatys Eigenvektor-Methode.- 7.2 Lineare Zuordnungsmethode.- 7.3 Einfache additive Gewichtung.- 7.4 Der Analytic Hierarchy Process (AHP).- 7.4.1 Philosophie des AHP.- 7.4.2 Theoretische Grundlagen des AHP.- 7.4.3 Vorgehensweise des AHP.- 7.4.4 Beispiele zum AHP.- 7.4.5 Kritische Bemerkungen zum AHP.- Literatur zu § 7.- III: Multi-Objective-Entscheidungen (Vektormaximumprobleme).- § 8 Grundbeariffe des MODM.- 8.1 Definition des MODM-Problems.- 8.2 Lösungsbegriffe.- 8.2.1 Definitionen.- 8.2.2 Beispiele.- 8.3 Bestimmung funktional-effizienter Lösungen.- 8.3.1 Effizienztheoreme.- 8.3.2 Skizze eines Algorithmus.- Literatur zu § 8.- § 9 Entscheiden mit a priori Information.- 9.1 Allgemeine Definition von Kompromißmodellen.- 9.2 Nutzenmodelle.- 9.2.1 Existenz einer Nutzenfunktion.- 9.2.2 Konstruktion einer Nutzenfunktion.- 9.2.3 Spezialfall konstante Zielgewichtung.- 9.2.4 Beispiele zur konstanten Zielgewichtung.- 9.3 Verfahren mit Anspruchsniveaus.- 9.4 Zielprogrammierung.- 9.4.1 ArchimedischesZielprogrammieren.- 9.4.2 Lexikographisches Zielprogrammieren.- 9.4.3 Effizienz der Lösungen beim Zielprogrammieren.- 9.4.4 Bemerkungen zum Zielprogrammieren.- Literatur zu § 9.- § 10 Interaktive Verfahren mit explizitem Trade-off.- 10.1 Allgemeine Definition interaktiver Verfahren.- 10.1.1 Kennzeichen interaktiver Verfahren.- 10.1.2 Vor- und Nachteile interaktiver Verfahren im Vergleich zu nicht-interaktiven Verfahren.- 10.1.3 Unterscheidung von interaktiven Verfahren mit expliziten und impliziten Trade-offs.- 10.2 Das Verfahren von Geoffrion, Dyer und Feinberg (GDF).- 10.2.1 Voraussetzungen des GDF-Verfahrens.- 10.2.2 Grundlage des Verfahrens.- 10.2.3 Ablauf des GDF-Verfahrens.- 10.2.4 Kritik am GDF.- 10.3 Das Verfahren von Zionts und Wallenius.- 10.3.1 Das Mehrziel-Simplextableau.- 10.3.2 Grundversion des Verfahrens von Zionts und Wallenius.- 10.3.3 Erweiterungen von Zionts und Wallenius.- Literatur zu § 10.- § 11 Interaktive Verfahren mit implizitem Trade-off.- 11.1 STEM.- 11.1.1 Idee der Méthode.- 11.1.2 Ablauf des Verfahrens.- 11.1.3 Modifikationen von Stem.- 11.1.4 Kritik an Stem.- 11.2 Die Methode der verschobenen Ideallösung.- 11.2.1 Der Algorithmus von Zeleny.- 11.2.2 Erfassen der Unschärfe im Algorithmus.- 11.2.3 Verschiebung der Ideallösung.- 11.2.4 Verfeinerung der Methode.- 11.3 VIG - Der Ansatz von Korhonen.- 11.3.1 Theoretische Grundlagen von Korhonen.- 11.3.2 Vorgehen von VIG.- 11.3.3 Kommentare zum VIG.- 11.4 Ein Verfahren von Steuer.- 11.4.1 Überblick über das Verfahren.- 11.4.2 Kontraktion des Kriterienkegels.- 11.4.3 Ablauf des Verfahrens.- 11.4.4 Bemerkungen.- Literatur zu § 11.- IV: Entscheidungstechnologische Ansätze.- § 12 Outranking.- 12.1 Ausgangspunkte des Outranking.- 12.1.1 Erweiterung des Begriffs Präferenz.- 12.1.2 Erweiterung des Begriffs Entscheidung.- 12.2 Electre.- 12.2.1 Idee des Verfahrens.- 12.2.2 Vorgehen von Electre.- 12.2.3 Bemerkungen zu Electre.- 12.2.4 Beispiel zu Electre.- 12.3 Promthee.- 12.3.1 Verallgemeinerte Kriterien.- 12.3.2 Bestimmung einer Outranking-Relation.- 12.3.3 Auswertung der Outranking-Relation.- 12.3.4 Beispiel zu Promthee.- 12.4 Gemeinsamkeiten von Electre und Promthee.- Literatur zu § 12.- § 13 Entscheiden bei unscharfer Information.- 13.1 Unscharfe Mengen.- 13.2 Operationen mit unscharfen Mengen.- 13.3 Unscharfe Entscheidungen.- 13.4 Unscharfe Mengen beim MODM.- 13.4.1 Unscharfe Version des linearen Vektormaximumproblems.- 13.4.2 Beispiel zur Anwendung unscharfer Mengen beim MODM.- 13.5 Unscharfe Mengen beim MADM.- 13.5.1 Das Verfahren von Yager.- 13.5.2 Das Verfahren von Jain.- 13.5.3 Kriterien zum Vergleich von MADM-Verfahren.- Literatur zu § 13.- V: Schlußbemerkungen.- § 14 Vergleichende Betrachtungen.- 14.1 Entsprechung der Problem- und Verfahrensstruktur.- 14.2 Güte der zu bestimmenden Lösungen.- 14.3 Effizienz.- 14.4 Benutzerfreundlichkeit.- Literatur zu § 14.- Sachwortverzeichnis.- Abbildungsverzeichnis.
£21.84
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Invariance and Structural Dependence
Book SynopsisThis is a revised version of a doctoral thesis, submitted in mimeographed fonn to the Faculty of Arts, Uppsala University, 1988. It deals with the notions of struc tural dependence and independence, which are used in many applications of mathe matics to science. For instance, a physical law states that one physical aspect is structurally dependent on one or more other aspects. Structural dependence is closely related to the mathematical idea of functional dependence. However, struc tural dependence is primarily thought of as a relation holding between aspects rather than between their measures. In this book, the traditional way of treating aspects within measurement theory is modified. An aspect is not viewed as a set-theoretical structure but as a function which has sets as arguments and set-theoretical structures as values. This way of regarding aspects is illustrated with an application to social choice and group deci sion theory. Structural dependence is connected with the idea of concomitant variations and the mathematical notion of invariance. This implies that the study of this notion has roots going back to Mill's inductive logic, to Klein's Erlangen Program for geome try and to Padoa's method for proving the independence of symbols in formal logic.Table of Contents1. Problem Area and Basic Formal Apparatus.- 1. The Concept of Dependence in Applied Mathematics; a First Account.- 1.0 Introduction.- 1.1 Determination and relevance.- 1.2 Partial determination.- 1.3 Structural dependence.- 1.4 Dependence and concomitant variations.- 1.5 Supervenience and dependence.- 1.6 Invariance and dependence.- 1.7 Independence of primitive symbols.- 1.8 Relations as functions.- 1.9 Notions of independence in modern measurement and decision theory.- 1.10 Applications of structural dependence.- 1.11 Summing up.- 2. Basic Formal Concepts and Terminology.- 2.0 Introduction.- 2.1 Relations and functions.- 2.2 Properties of binary relations.- 2.3 Order relations.- 2.4 Two lemmas on weak orders.- 2.5 Semiorders.- 2.6 Correspondences.- 2.7 Invariance.- 2.8 Relational structures.- 2.9 Isomorphisms and homomorphisms.- 2.10 Congruence relations.- 2.11 Lattices.- 2. An Informal Presentation of the Main Themes.- 3. Relationals.- 3.0 Introduction.- 3.1 The fundamentals of relational.- 3.2 Formal properties of relationals.- 3.3 Some examples.- 3.4 Finitary systems of relationals.- 3.5 Historical and bibliographical remarks.- 4. Subordination, Uncorrelation and Derivation.- 4.0 Introduction.- 4.1 Isomorphism preservation and transitions.- 4.2 Subordination and definability.- 4.3 Uncorrelation.- 4.4 The dependence between R and its regionalization R*.- 4.5 Equality and decision methods for relationals.- 4.6 Derived and derivable relationals.- 4.7 Stability of transitions.- 4.8 The structural character of transitions and subordination.- 4.9 Significance.- 5. An Example: Social Choice.- 5.0 Introduction.- 5.1 The notion of dependence in social choice theory.- 5.2 Preference relationals and collective choice rules.- 5.3 Isomorphism preservation, subordination and social choice.- 5.4 Relative effectiveness, derivability and social choice.- 5.5 Stability and background for collective choice rules.- 5.6 Structural dependence and aggregation; a preliminary remark.- 6. Conformity and Measures.- 6.0 Introduction.- 6.1 Equality preservation and independent realizability.- 6.2 Congruence relational, conformity and import.- 6.3 Homomorphic representations.- 6.4 Measures.- 6.5 Numerical measures and representations.- 6.6 Connections between relational defined by measures.- 3. Formal Treatment of Basic Topics.- 7. Transitions Between Systems of Relationals.- 7.0 Introduction.- 7.1 Relational systems.- 7.2 Transitions and subordination.- 7.3 Transitions and uncorrelation.- 7.4 Concatenation and transition.- 7.5 Significance.- 7.6 Stability and monotonicity of s-functions.- 8. The Structure of Subordination.- 8.0 Introduction.- 8.1 Subalternation and rank.- 8.2 The lattice of subalternation.- 8.3 Correlation and collaterally.- 8.4 Semiranks.- 8.5 On equality preservation and independent realizability of structures.- 9. Isomorphic Mappings and Invariance.- 9.0 Introduction.- 9.1 Mappings.- 9.2 Isomorphic mappings.- 9.3 Automorphic mapping invariance.- 9.4 Global isomorphic mappings and global subordination.- Final remarks.- References.
£42.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Classification and Knowledge Organization:
Book SynopsisLarge collections of data and information necessitate adequate methods for their analysis. The book presents such methods, proposes and discusses recent approaches and implementations and describes a series of practical applications.Table of ContentsSection 1: Data Analysis and Classification.- Probability Models for Convex Clusters.- Multidimensional Scaling: Analyzing Multineuronal Spike Patterns.- Fixed Point Clusters and Their Relation to Stochastic Models.- A Metric Approach for Ordinal Regression.- Graphical Stability of Data Analysing Software.- Recent Developments in Three-Way Data Analysis: A Showcase of Methods and Examples.- A Hybrid Global Optimization Algorithm for Multidimensional Scaling.- Ordinal Regression.- Numerical Algorithms for Multidimensional Scaling.- High Dimensional Clustering Using Parallel Coordinates and the Grand Tour.- Section 2: Neural Networks and Pattern Recognition.- A Symbolic Representation for Patterns in Time Series Using Definitive Clause Grammars.- Neural Networks: A Statistician’s (Possible) View.- Dynamic Supervised Learning: Some Basic Issues and Application Aspects.- A Hierarchical Neural Network Model for Pattern Recognition.- Section 3: Statistical Models and Methods.- Markov Random Field Models with Spatially Varying Coefficients.- Distribution of a Likelihood Ratio Statistic for Spatial Disease Clusters.- Biased Methods of Discrimination in High Dimensions: A Comparative Assessment.- A One-Step Optimization Procedure for the ARFIMA Processes.- GARCH Models with Outliers.- Minimum Volume Sets in Statistics: Recent Developments.- Fusion of Data Sets in Multivariate Linear Regression with Errors-in- Variables.- Discriminant Analysis for Directional Data Exemplified in a Concrete Case.- Combination of Tests and Sequential Classification.- Classes of Influential Observations.- Bayesian Non-Linear Latent Variable Models.- Section 4: Information Systems: Design and Implementation.- Case Based Software Engineering CBSE — The Example of a Store Control System.- Optimization in Probabilistic Logic for Decision Support Systems.- Learning Strategies for Managing New and Innovative Products.- Interoperable Database Systems.- Consistent Completion of Incomplete Data Objects.- Towards a Case-Based Assistant for the Conceptual Modelling of Information Systems.- Foundational Aspects of Knowledge-Based Information Systems in Scientific Domains.- Section 5: Text Analysis and Information Retrieval.- A Planning-Based Approach to Intelligent Information Retrieval in Text Databases.- 3D-Navigation in Virtual Information Spaces: From Text-Based Retrieval to Cognitive User Interaction.- A Note on Intelligent Information Retrieval Tools in the World Wide Web.- Computer-Aided Methods for Typification in Qualitative Social Research.- Classification of Text Analysis Software.- Computer Aided Text Analysis and Typology Construction.- Rotwang’s Children: Information Ecology and the Internet.- Network Approaches in Text Analysis.- Qualitative Software and Analysis Structures: Solving Problems or Creating Them?.- Computer Tools for Grounded Theory: Introducing ATLAS/ti for Windows 95.- Section 6: Applications in Medicine.- Some Issues in the Comparison of Diagnostic Tests from a Paired Experiment.- Formal Modeling of Medical Concept Systems Considering Part-Whole Relations.- Classification of Oligodendrogliomas Using Neural Networks.- Statistical Methods to Estimate the Impact of Risk Factors on the Disease Load in a Population.- Neural Networks for Classification of Image Data in Quantitative Pathology.- Variations on the Shapley Solution for Partitioning Risks in Epidemiology.- Generalized Regression Trees Applied to Longitudinal Nutritional Survey Data.- Conceptual Complexity in Biomedical Terminologies: The UMLS Approach.- Sun Protection of Children: Changing Patterns of Preventive Knowledge and Behaviour.- A Natural Language Understanding System for Knowledge-Based Analysis of Medical Texts.- On the Development and Validation of Classification Schemes in Survival Data.- Use of Crossvalidation to Assess Diagnostic Classification Schemes of Atopic Dermatitis.- Differences of Representing a Conventional Classification by the Compositional Concept Representation Languages BERNWARD and GRAIL.- The Freiburg Center of Data Analysis and Model Building (FDM): An Interim Report about an Interdisciplinary Coorperation.- Realization of a Medical Data Dictionary in a Relational Database Management System.- Section 7: Applications in Economics and Social Sciences.- Two-Mode Overlapping Clustering With Applications to Simultaneous Benefit Segmentation and Market Structuring.- An Application of Two-Mode Classification to Analyze the Statistical Software Market.- Correspondence Analysis of Square Tables, with an Application to Social Mobility.- Identifying Benchmarking-Partners Using Two-Mode Classification.- Supporting the Search for Final Scenarios by the Fuzzy-C-Means Algorithm.- Two-Mode Classification in Advertising Research.- Neural Networks as Instruments for Automotive Market Segmentation.- Section 8: Applications in Archaeology, Biology, Linguistics and Dialectometry.- Seriation in Archaeology: Modelling, Methods and Prior Information.- Probabilistic Aspects of Sequence Repeats and Sequencing by Hybridization.- On the Equivalence of Two Tree Mapping Measures.- Deriving Grammars from Large Corpora.- Investigation of the Language in Germany and Austria Using Statistical Methods.- Current Trends in Dialectometry: The Handling of Synonym Feature Realizations.- Interactive Graphical Analysis of Regional Dialects.- Subject Index (including List of Authors).
£42.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Grundlagen der Betriebswirtschaftslehre: Eine
Book SynopsisDas Buch bietet eine komprimierte und anschauliche Darstellung der Grundlagen in der modernen Betriebswirtschaftslehre. Neben der Erläuterung elementarer betriebswirtschaftlicher Begriffe und Zusammenhänge liegt ein besonderer Schwerpunkt auf der Identifizierung und Beschreibung elementarer Planungs- und Entscheidungsprobleme sowie der Beschreibung wichtiger Planungsansätze und -hilfsmittel. Das Buch eignet sich für einführende Vorlesungen im Grund- und Hauptstudium. Die 4. Auflage wurde aktualisiert, ohne die bewährte Gesamtkonzeption zu ändern.Trade ReviewAus den Rezensionen zur 4. Auflage: "… Auf rund 400 Seiten werden gut strukturiert und leicht verständlich die Grundlagen des Faches dargestellt, wobei die zwei Autoren einen Schwerpunkt auf die … betrieblichen Entscheidungsprobleme gelegt haben. … Das Buch kann von allen herangezogen werden, die sich zu Beginn ihres Studiums betriebswirtschaftliches Wissen in komprimierter Form aneignen wollen. Auch höhere Semester können es zur Hand nehmen, sei es um wichtige Begriffe nachzuschlagen oder um das Grundlagenwissen aufzufrischen." (in: STUDIUM Buchmagazin für Studierende, Wintersemester 2008/2009, Issue 83, S. 4)Table of ContentsGegenstand der Betriebswirtschaftslehre.- Planung und Entscheidung.- Produktion.- Materialwirtschaft und Logistik.- Absatz und Marketing.- Investition und Finanzierung.- Rechnungswesen und Steuern.- Unternehmensführung (Management).
£29.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Risk and Asset Allocation
Book SynopsisDiscusses in the practical and theoretical aspects of one-period asset allocation, i.e. market Modeling, invariants estimation, portfolia evaluation, and portfolio optimization in the prexence of estimation risk The book is software based, many of the exercises simulate in Matlab the solution to practical problems and can be downloaded from the book's web-siteTrade ReviewFrom the reviews: This exciting new book takes a fresh look at asset allocation and offers up a masterly account of this important subject. The quantitative emphasis and included MATLAB software make it a must-read for the mathematically oriented investment professional. Peter Carr, Head of Quantitative Research, Bloomberg LP, Director of Masters in Mathematical Finance program, NYU Meucci’s Risk and Asset Allocation is one of those rare books that takes a completely fresh look at a well-studied problem, optimal financial portfolio allocation based on statistically estimated models of risk and expected return. Designed for graduate students or quantitatively oriented asset managers, Meucci provides a sophisticated and integrated treatment, from investment theory, to optimization methods, to statistical analysis of multi-variate return data, through computational implementation of the results. This is rigorous and relevant! Darrel Duffie, Professor of Graduate Business School, Stanford University A wonderful book! Mathematically rigorous and yet practical, heavily illustrated with graphs and worked examples, Attilio Meucci has written a comprehensive treatment of asset allocation starting from statistical concepts, covering investment primitives, and leading to portfolio optimization in a Bayesian context with parameter uncertainty. Bob Litterman, Head of Quantitative Resources, Goldman Sachs Asset Management This book takes the reader on a journey through portfolio management starting with the basics and reaching some fascinating terrain. Attilio Meucci shows a real talent for explaining the most difficult of subjects in a very clear manner. Paul Wilmott, wilmott.com "This book presents a detailed and well-explained introduction to one-period asset allocation techniques … . the book gives an impressive and comprehensive introduction to static one-period asset allocation. It explains most of the concepts intuitively and with a minimal mathematical machinery. … For practitioners, the book serves as a theoretical basis of their actual work. For students of finance and economics it gives a self-contained overview of the main quantitative concepts in the subject." (Ludger Overbeck, SIAM Review, Vol. 48 (3), 2006) "This book delves into the classical mathematics of portfolio optimization with a few nods to more recent developments in risk measurement such as value-at-risk and copulas. … For anyone with an interest in the mathematics of portfolio optimization, the book is certainly worth a look. … The author covers a wealth of statistical and optimization techniques that are worth reading about." (www.riskbook.com, May, 2006) "The book offers a wide exposition of the main approaches to asset allocation, starting from the classical models up to the recent developments in portfolio management. … By virtue of the sequential structure of the subjects and the simple but efficacious mathematical treatment, the monograph is useful for graduate students and quantitatively-oriented practitioners too. … The book is complemented by online resources, consisting of software applications performed by MATLAB … ." (Emilia Di Lorenzo, Zentralblatt MATH, Vol. 1102 (4), 2007)Table of ContentsThe statistics of asset allocation.- Univariate statistics.- Multivariate statistics.- Modeling the market.- Classical asset allocation.- Estimating the distribution of the market invariants.- Evaluating allocations.- Optimizing allocations.- Accounting for estimation risk.- Estimating the distribution of the market invariants.- Evaluating allocations.- Optimizing allocations.
£66.97
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Convex Analysis and Minimization Algorithms II:
Book SynopsisFrom the reviews: "The account is quite detailed and is written in a manner that will appeal to analysts and numerical practitioners alike...they contain everything from rigorous proofs to tables of numerical calculations.... one of the strong features of these books...that they are designed not for the expert, but for those who whish to learn the subject matter starting from little or no background...there are numerous examples, and counter-examples, to back up the theory...To my knowledge, no other authors have given such a clear geometric account of convex analysis." "This innovative text is well written, copiously illustrated, and accessible to a wide audience"Trade ReviewFrom the reviews: "The account is quite detailed and is written in a manner that will appeal to analysts and numerical practitioners alike...they contain everything from rigorous proofs to tables of numerical calculations.... one of the strong features of these books. . . [is] that they are designed not for the expert, but for those who wish to learn the subject matter starting from little or no background...there are numerous examples, and counter-examples, to back up the theory...To my knowledge, no other authors have given such a clear geometric account of convex analysis." "This innovative text is well written, copiously illustrated, and accessible to a wide audience"Table of ContentsIX. Inner Construction of the Subdifferential.- X. Conjugacy in Convex Analysis.- XI. Approximate Subdifferentials of Convex Functions.- XII. Abstract Duality for Practitioners.- XIII. Methods of ?-Descent.- XIV. Dynamic Construction of Approximate Subdifferentials: Dual Form of Bundle Methods.- XV. Acceleration of the Cutting-Plane Algorithm: Primal Forms of Bundle Methods.- Bibliographical Comments.- References.
£82.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Strategische Spiele: Eine Einführung in die
Book SynopsisEinführender Text in die nicht-kooperative Spieltheorie, der besonders für Studenten geeignet ist, die Freude an präziser Modellierung haben. Neben den Grundlagen der Normalform- und Extensivformspiele werden Themen aus der Verhandlungstheorie, der Theorie der Wiederholten Spiele und der Evolutionären Spieltheorie behandelt. NEU: entsprechend der wachsenden Bedeutung von Auktionen ein Kapitel zur Auktionstheorie; Aufnahme weiterer Konzepte der nicht-kooperativen Spieltheorie wie z. B. "Mechanism Design" und "Stabiles Gleichgewicht".Trade ReviewAus den Rezensionen zur 3. Auflage: “... einen umfassenden Überblick über den gegenwärtigen Stand der nicht-kooperativen Spieltheorie ... Sie tun zudem ihr Bestes, um den sperrigen Stoff so verdaulich wie möglich zu präsentieren. Geschickt verknüpfen sie die Theorie mit spieltheoretischen Experimenten und ... mit passenden ökonomischen Beispielen. ... präzise und anschauliche Darstellung zentraler spieltheoritischer Modelle ... Wer schon als Bachelor-Student diesen Stoff beherrscht - was dank dieses Lehrbuchs kein Problem sein sollte – hat beim Master-Studium einen Startvorsprung.“ (in: Studium, Summer 2011, S. 26)Table of ContentsSpiele in Normalform.- Spiele in Extensivform.- Theorie der Verhandlungen.- Auktionstheorie.- Evolutionäre Spieltheorie.- Wiederholte Spiele.
£39.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Einführung in die Wirtschaftsmathematik
Book SynopsisDas Lehrbuch vermittelt die Grundlagen der Wirtschaftsmathematik. Dafür behandeln die Autoren Lineare Algebra, Analysis und Optimierung sowohl grundsätzlich als auch in der Anwendung auf ökonomische Fragestellungen, die Stochastik bleibt ausgeklammert. In der Darstellung wird auf mathematische Präzision Wert gelegt, ohne sie überzustrapazieren. Beispiele dienen dem Verständnis der Methodik und der wirtschaftlicher Fragestellungen. Das Buch erscheint in der 5., überarbeiteten und ergänzten Auflage und ist speziell für Studienanfänger gestaltet. Table of ContentsGrundlagen.- Lineare Algebra.- Folgen, Reihen und Finanzrechnung.- Funktionen einer reellen Variablen.- Funktionen von mehreren reellen Variablen.- Optimierung.
£28.49
