Management decision making Books

Book SynopsisFor many decades, play has been placed outside of learning spheres and only meant for children. What can be observed now is a revival of the phenomenal characteristics and potentials found in strong play experiences across life-long learning target groups and applied situations as well as broadly in the product, service and experience development industry. The effect play can have on participants and surroundings can be extremely effective. This book provides operational design guidelines on how to find strong balances in the making of specific play-based designs as well as how to involve users and stakeholders in the process of play design making. Through curious mindsets and surprising features, designers, learners and innovators are moved to new types of perspectives, approaches, beliefs and routines. This is considered to be a vital ingredient in the 21st century and of the coming decade because of rapid changes in school sectors and industry markets. This book provides frameworks and theories at a more operational level, which can guide those interested in designing for particular play experiences at a hands-on level.

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Book SynopsisThis transdisciplinary volume investigates the ways in which people and organisations deal with the overflow of information, goods or choices. It explores two main themes: the emergence of overflows and the management of overflows, in the sense of either controlling or coping with them. Individual chapters show the management of overflows taking place in various social settings, periods and political contexts. This includes attempts by states to manage future consumption overflow in post-war Easter European, contemporary economies of sharing, managing overflow in health care administration, overflow problems in mass travel and migration, overflow in digital services and the overflow that scholars face in dealing with an abundance of publications.An electronic version of this book is available under a creative commons licence: manchesteropenhive.com/view/9789198469813/9789198469813.xmlTable of ContentsIntroduction – Orvar Löfgren and Barbara Czarniawska1 Consumer and consumerism under state socialism: demand-side abundance and its discontents in Hungary during the long 1960s – György Péteri2 Metamorphoses, or how self-storage turned from homes into hotels – Helene Brembeck3 Moving in a sea of strangers: handling urban overflows – Orvar Löfgren4 Too much happens in the workplace – Karolina J. Dudek5 Just like any other business or a special case? Framing excess in a Swedish newspaper group – Elena Raviola6 Overflowing with uncertainty: controversies regarding epistemic wagers in climate-economy models – Jonathan Metzger7 More means less: managing overflow in science publishing – Sabina Siebert, Robert Insall, and Laura M. Machesky8 Guides and an overflow of choices – Lars Norén and Agneta Ranerup9 Virtual red tape, or digital v. paper bureaucracy – Barbara CzarniawskaAfterword: a surplus of ideas – Richard WilkReferencesIndex

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Book SynopsisThis INSAG report defines in detail the independence needed in the regulatory decision making process and how to meet the potential challenges to that independence. Thus, the report identifies a number of measures that need to be implemented at different levels to promote and protect independence in the regulatory decision making process. The basic principles have to be embedded into the legal framework and followed up by systematic quality management of regulatory processes and activities.

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Book SynopsisThis book includes selected papers presented at the Indo-French Seminar on Optimization, Variational Analysis and Applications (IFSOVAA-2020), held at the Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi, India, from 2–4 February 2020. The book discusses current optimization problems and their solutions by using the powerful tool of variational analysis. Topics covered in this volume include set optimization, multiobjective optimization, mathematical programs with complementary, equilibrium, vanishing and switching constraints, copositive optimization, interval-valued optimization, sequential quadratic programming, bound-constrained optimization, variational inequalities, and more. Several applications in different branches of applied mathematics, engineering, economics, finance, and medical sciences have been included. Each chapter not only provides a detailed survey of the topic but also builds systematic theories and suitable algorithms to deduce the most recent findings in literature. This volume appeals to graduate students as well as researchers and practitioners in pure and applied mathematics and related fields that make use of variational analysis in solving optimization problems.Table of ContentsKhushboo and C. S. Lalitha, Linear and Pascoletti—Serafini Scalarizations in Unified Set Optimization.- N. K. Bisui, S. Mazumder and G. Panda, A Gradient Free Method for Multiobjective Optimization Problem.- J.-P. Dussault, T. Migot, M. Haddou, The New Butterfly Relaxation Method for Mathematical Programs with Complementarity Constraints.- S. K. Neogy and V. N. Mer, Copositive Optimization and its Applications in Graph Theory.- N Sharma, J. Bisht, and S. K. Mishra, Hermite-Hadamard type Inequalities for Functions whose Derivatives are Strongly-Convex via Fractional Integrals.- Q. H. Ansari, P. K. Sharma, Set Order Relations, Set Optimization and Ekeland’s Variational Principle.- A. K. Debnath and D. Ghosh, Characterizations and Generating Efficient Solutions to Interval Optimization Problems.- R. Sadhu, C. Nahak, S. P. Dash, Unconstrained Reformulation of Sequential Quadratic Programming and its Application in Convex Optimization.- P. Maréchal, A Note on Quadratic Penalties for Linear Ill-posed Problems: from Tikhonov Regularization to Mollification.- W. C. Simo Tao Lee.- A New Regularization Method for Linear Exponentially Ill-posed Problems.- V. Laha, H. N. Singh and S. K. Mishra, R. Kumar, On Minimax Programming with Vanishing Constraints.- B. B. Upadhyay and P. Mishra, On Minty Variational Principle for Nonsmooth Interval-Valued Multiobjective Programming Problems.- Y. Pandey, V. Singh, On Constraint Qualifications for Multiobjective Optimization Problems with Switching Constraints.- V. Kapoor and D. Nandan, Optimization of Physico-Chemical Parameters for the Production of Endoxylanase using Combined Response Surface Method and Genetic Algorithm.- A. Kaul, A. Gupta, S. Aggarwal, P. C. Jha, R. Ramanathan, Optimal Duration of Integrated Segment Specific and Mass Promotion Activities for Durable Technology Products: A Differential Evolution Approach.- M. Kumar, A Secure RGB Image Encryption Algorithm in Optimized Virtual Planet Domain.- J. D. Darbari, S. Sharma, M. C. Barrueta Pinto, Identification and Analysis of Key Sustainable Criteria for Third Party Reverse Logistics Provider Selection using the Best-Worst Method.- A. Gupta, N. Pachar, M. C. Barrueta Pinto, Efficiency Assessment through Peer Evaluation and Benchmarking: A Case Study of a Retail Chain using DEA.- R. K. Misra, D. Singh and A. Kumar, Spherical Search Algorithm: A Metaheuristic for Bound-Constrained Optimization.

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Book SynopsisThis edited volume is an in-depth collation of the usage of different quantitative decision making techniques in practical areas such as lean & green supply chain, reverse logistics, perishable logistics, closed loop supply chain, sustainable project management, retail management, block chain applications, optimal supplier selection problem, demand/supply modelling, forecasting under uncertainties, scheduling & sequencing, resource constraint logistics, dynamic network supply chain, risk evaluation, and so on. Additionally, the book also solves these issues in theoretical and practical context using innovative mathematical tools. Consisting of selected papers from the 23rd Annual International Conference of the Society of Operations Management, this book's highlight is not only the coverage of interesting topics, but also how these topics are dealt with, such that post-graduate students as well as researchers and industry personnel working in areas like engineering, economics, social sciences, management, mathematics, etc., can derive the maximum benefit by reading or referring to this book. Apart from the emphasis on new mathematical, operations research, operations management, and statistical techniques, the authors also ensure that all the concepts are made clear by highlighting their practical significance in different areas of applications of operations management. By using novel presentation methods, the book offers a good practical flavor of all the different topics relevant to operations management in the coming decades. Table of ContentsModeling Reverse Logistics Network for Post-Sale Service Under International Ecosystem.- Sustainable Parallel Machine Scheduling: Trade-Off Between Tardiness And Energy Consumption.- Modeling A Coordinated Supply Chain Under Service Level Constraint With Price-Sensitive Stochastic Demand And Discrete Transportation Lead Time.- A Course Timetabling Problem.- Vehicle Routing Problem For Organized Health Care Waste Collection And Optimization: A Case Study Of Varanasi.- Modelling The Route Design In Animal Husbandry Supply Chain.- The PRV Problem – Solution And Extensions.- Nurse Staffing And Scheduling Optimization Solution For A Healthcare Service Industry.- Mathematical Modelling And Simulation Of Sawmill Operations With A View To Improve Occupational Health And Productivity.- Duopoly Airline Network Design Decisions: A Case Of Co-Opetition.- Robust Multi-Objective Solution Approach For Multiple Quality Characteristic Optimization Problems.- Production Planning And Control Of A Hybrid MTS/MTO Production Network Model Using Asymmetric Loss Function.- Joint Optimization Of Airline Pricing And Seat Allocation Under Choice-Based Demand.- Manpower Planning In A Hyper-Local Food Delivery Organization: A Case Study.- Optimizing Multimodal Transportation Problem For Efficient Parcel Movement In Courier Industry.- Optimization Of Quality Of Life Index With alpha-Level Of Significance Of Linear Constraints.- Reducing Patient Waiting Time In A Primary Health Network Using Location-Allocation Model.- Quality And Pricing Decisions Of Web Based Applications.- Measuring Sustainability Efficiency Of Fast Moving Consumers Goods Companies Using DEA Model.- A Novel Two-Stage Network DEA Approach To Estimate Production Efficiency Of The Bus Transportation System.- A Data Envelopment Approach For Energy Efficient Habitats.- Deep Learning And Cross-Temporal Hierarchies Based Framework For Demand Forecasting.- Application Of Deep Learning For Throughput Forecasting In Container Supply Chain.- A Machine Learning Model For Forecasting Domestic Lpg Demand.- A Model To Identify Predictors Of Demand For Regional Air-Transport.- How Many People In Your Party? – An Experimental Research To Predict Consumer Demand In Restaurants.- Prioritization And Evaluation Of Barriers To Implement CSCM Using Fuzzy-AHP.- Analysis Of Issues Of ELV Management In India: A Fuzzy Analytical Hierarchy Process Approach.- A Game Theoretic Analysis Of Carbon Emission And Congestion Cost In The Presence Of Competition Between Airlines.- Pricing Decision Of A Two-Sided Platform With Heterogeneous Sellers.- A Clarke And Wright Based Heuristic Approach For Implementing Recall Of Utility Products.- A Heuristic Approach To Fixed Budget Tourist Trip Design Problem.- A Lagrangian Approach For Solving The Team Orienteering Problem With Non-Identical Agents.- Material Flow Optimisation Of A Capacitated Vehicle Routing Problem In A Manufacturing Plant By Using Real Coded Genetic Algorithm.- A Modified Ant Algorithm Integrates Real-Life Road Constraints In Vehicle Routing Under Uncertain Environments: A Case Study Of E-Commerce Courier Companies In India.- A Long Horizon Stochastic Inventory Routing Problem For Liquid Nitrogen Delivery.- An Optimization Model For A Dairy Co-Operative For Sustainable Operations For Milk Collection.- The Shapley Value Based Compliance Table For Ambulance Repositioning.- Waiting Time Reduction In A Hospital Outpatient Clinic Using Flexsim Simulation.- Agent Based Simulation Of RFID Potential In Aircraft Reverse Logistics.- Sustainable Mobility Project Selection Using A Fuzzy Axiomatic Design Based Approach.- An Internal Credit Scoring Model For SMEs Using BWM And TOPSIS.- The Value Of Time Of Use (ToU) Pricing In A Grid With Significant Renewable Energy Supply: Does It Co-Ordinate?.

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Book SynopsisThis book aims to provide a practical guide by a set of real world applications of grey systems to social networks, energy management, transportation, natural disaster management, etc. As an emerging subject on data analysis and uncertainty modelling, the theory of grey systems and its applications have seen significant progress in recent years. However, researchers are still challenged with difficulties in differentiating grey systems from other similar models and a concise and practical guide for their real world applications. This is especially true for researchers in Europe and North American. This book may provide the answer for that. This book is a result of work within the Leverhulme Trust International Research Network on Grey Systems and its Applications. Readers may regard the book as valuable reference in the related fields.Table of ContentsChapter 1. Development of Grey System Research – Sifeng Liu. Chapter 2. Basic models in grey systems theory – Naiming Xie, Baolei Wei. Chapter 3. Grey systems and uncertainty modelling – Yingjie Yang, A.S. Khuman, S. Liu. Chapter 4. Agent-based modelling in grey economic systems – Camelia Delcia, Yingjie Yang, Sifeng Liu, Liviu-Adrian Coftas. Chapter 5. Selection of the company’s strategy using Grey Stratified Decisions Model – Rafał Mierzwiak. Chapter 6. A Cost Level Analysis for the Components of the Smartphones Using Greyness Based Quality Function Deployment – Erdal Aydemir, Yusuf Sahin, Kenan Karagul Chapter 7. Forecasting and optimization of short-term traffic flow dynamics modelling, based on grey system theory – Xinping Xiao, Huan Guo, Jinwei Yang. Chapter 8. Yellow river ice disaster risk management based on grey prediction and decision method – Dang Luo Chapter 9. Millennial generation: enthusiastic vs. stressed consumers. How different is their behavior and their opinion on companies’ image in online social networks? - Camelia Delcia Liviu-Adrian Coftas Chapter 10. Grey models and its application in the energy-economic system – Chaoqing Yuan.

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Book SynopsisEffective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. While agility is a crucial issue, the firms have been increasingly relying on evidence-based decision-making through intelligent decision support systems driven by computational intelligence and automation to achieve a competitive advantage. The decisions are no longer confined to a specific functional area. Instead, business organizations today find actionable insight for formulating future courses of action by integrating multiple objectives and perspectives. Therefore, multi-objective decision-making plays a critical role in businesses and industries. In this regard, the importance of Operations Research (OR) models and their applications enables the firms to derive optimum solutions subject to various constraints and/or objectives while considering multiple functional areas of the organizations together. Hence, researchers and practitioners have extensively applied OR models to solve various organizational issues related to manufacturing, service, supply chain and logistics management, human resource management, finance, and market analysis, among others. Further, OR models driven by AI have been enabled to provide intelligent decision-support frameworks for achieving sustainable development goals.The present issue provides a unique platform to showcase the contributions of the leading international experts on production systems and business from academia, industry, and government to discuss the issues in intelligent manufacturing, operations management, financial management, supply chain management, and Industry 4.0 in the Artificial Intelligence era. Some of the general (but not specific) scopes of this proceeding entail OR models such as Optimization and Control, Combinatorial Optimization, Queuing Theory, Resource Allocation Models, Linear and Nonlinear Programming Models, Multi-objective and multi-attribute Decision Models, Statistical Quality Control along with AI, Bayesian Data Analysis, Machine Learning and Econometrics and their applications vis-à-vis AI & Data-driven Production Management, Marketing and Retail Management, Financial Management, Human Resource Management, Operations Management, Smart Manufacturing & Industry 4.0, Supply Chain and Logistics Management, Digital Supply Network, Healthcare Administration, Inventory Management, consumer behavior, security analysis, and portfolio management and sustainability. The present issue shall be of interest to the faculty members, students, and scholars of various engineering and social science institutions and universities, along with the practitioners and policymakers of different industries and organizations.Table of ContentsChapter 1: Optimization of an inventory model with demand dependent on selling price and stock, nonlinear holding cost along with trade credit policy.- Chapter 2: Software Defect Prediction Through a Hybrid Approach Comprising of a Statistical Tool and a Machine Learning Model.- Chapter 3: Conservation of a prey species through optimal taxation: a model with Beddington-DeAngelis Functional Response.- Chapter 4: Investigate the reason for students' absenteeism in Engineering College in Fuzzy MCDM environment.- Chapter 5: Optimal inventory management policies for substitutable products considering non-instantaneous decay and cost of substitution.

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Book SynopsisThis book takes a fresh and critical look at the leading sources of global risk — terrorism, disease, crime, poverty, environmental damage and others — and sets out a practical way to respond far better than we have to each risk area.Drawing from his state-of-the-art knowledge of global strategy as applied in the business world, the author provides analysis, insight, realistic strategies, and hope for a better way forward. His foresight has already been demonstrated. Early in the year 2000, he wrote: “Sadly, the history of mass terrorism is just about to be written. … Even the US is no longer a safe haven from foreign or local terrorists. … US policing has done little to limit the operations of terrorist Osama bin Laden. … The vulnerability of large government and civilian buildings and even military targets has also contributed to an increase in the scale of potential harm.”Without a more informed set of strategies and better global leadership, the catastrophe of 9/11 will only be a forerunner of many more disasters in the future. We can do much better. This important book shows us how.Table of ContentsWorld of Risk -- World of Opportunity; Scale and Nature of the Challenge; A New Approach to Strategy; Next Generation Strategies; Leadership and Engagement; A Message of Hope

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Book SynopsisIn the complex world of today, important policy and business decisions are still made with a 17th Century reductionist mindset and approach. Yet, complex challenges such as climate change, poverty, public health, security, energy futures, and sustainability transcend any single science, discipline or agency. Rather, they require integration of social, economic, cultural, political, and environmental concerns to achieve acceptable and sustainable outcomes. This entails synthesis of diverse knowledge and perspectives in a transparent and unifying decision-making process, engaging stakeholders with competing interests, perspectives, and agendas under uncertain and often adversarial conditions.Multi-Stakeholder Decision Making for Complex Problems — A Systems Thinking Approach with Cases brings together a unique self-contained volume to address this challenge. The book introduces the systems approach in non-technical language for multi-issue, multi-stakeholder decision making supplemented by numerous case studies including business, economics, healthcare, agriculture, energy, sustainability, policy, and planning. The book provides a fresh and timely approach with practical tools for dealing with complex challenges facing evolving global business and society today.Table of ContentsFour Levels of thinking; Feedback Loops (Reinforcing and Balancing); Behaviors over Time Graphs; Casual Loop Modelling; Law of Leverage; Delay; Decision Making Pitfalls; Learning Lab (LLab); International Cases Studies;

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Book SynopsisWhat is the way that societies improve and solve problems? What is the purpose of business in society? Is there a role for markets and business in issues of civic good, justice, equality, education, environment, health or collective action? Current economic principles, which underpin our trust in markets are not value neutral. Therefore, how we design "market solutions" to problems should be the focus of vigorous and open debate. Multi-sector Partnership is a concept that has re-focused us on the meaning of the goods and social practices we value as citizens in a global society. Multi-sector partners emerge in society to offer innovative approaches to dealing with pressing, yet complex, social, economic and weather-related 21st century challenges.Multi-sector partnerships, loosely defined as activities with an embedded social purpose, is about using skills from a range of sectors to craft innovative responses to address social problems. It aims at social impact but does not exclude economic wealth creation. Thus, it is not limited to the non-profit or social sectors but seeks to mobilize and align interests of diverse stakeholders in the social, public and private sectors by creating non-financial incentives for collective action. Multi-sector partnerships involve recognizing that social problems are potential opportunities for collaboration, building on existing social networks, harnessing market forces that combine and mobilize resources, inciting positive change in various domains, and designing solutions for sustainable development.The purpose of this edited volume is to provide academic and practitioners with the essential conceptual frameworks and tools for creating successful Multi-sector ventures, initiatives, programs or partnerships that seek to tackle global social issues and collective action problems.

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Book SynopsisWhat is the way that societies improve and solve problems? What is the purpose of business in society? Is there a role for markets and business in issues of civic good, justice, equality, education, environment, health or collective action? Current economic principles, which underpin our trust in markets are not value neutral. Therefore, how we design "market solutions" to problems should be the focus of vigorous and open debate. Multi-sector Partnership is a concept that has re-focused us on the meaning of the goods and social practices we value as citizens in a global society. Multi-sector partners emerge in society to offer innovative approaches to dealing with pressing, yet complex, social, economic and weather-related 21st century challenges.Multi-sector partnerships, loosely defined as activities with an embedded social purpose, is about using skills from a range of sectors to craft innovative responses to address social problems. It aims at social impact but does not exclude economic wealth creation. Thus, it is not limited to the non-profit or social sectors but seeks to mobilize and align interests of diverse stakeholders in the social, public and private sectors by creating non-financial incentives for collective action. Multi-sector partnerships involve recognizing that social problems are potential opportunities for collaboration, building on existing social networks, harnessing market forces that combine and mobilize resources, inciting positive change in various domains, and designing solutions for sustainable development.The purpose of this edited volume is to provide academic and practitioners with the essential conceptual frameworks and tools for creating successful Multi-sector ventures, initiatives, programs or partnerships that seek to tackle global social issues and collective action problems.

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Book Synopsis

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Book Synopsis

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Book Synopsis

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