Management decision making Books

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

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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.

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Book SynopsisThis book is primarily intended to serve as a research-based textbook on sustainable supply chains for graduate programs in Business, Management, Industrial Engineering, and Industrial Ecology, but it should also be of interest for researchers in the broader sustainable supply chain space, whether from the operations management and industrial engineering side or more from the industrial ecology and life-cycle assessment side.Finding efficient solutions towards a more sustainable supply chain is increasingly important for managers, but clearly this raise difficult questions, often without clear answers. This book aims to provide insights into these kinds of questions for students and practitioners, based on the latest academic research. Table of ContentsPerspectives on Sustainability and Sustainable Supply Chains.- Measuring Environmental Impacts in Supply Chains.- Introduction to Life Cycle Assessment.- Carbon Footprinting in Supply Chains.- Water Footprint Assessment in Supply Chains.- Sustainable Non-Renewable Materials Management.- Disclosing and Reporting Environmental Sustainability of Supply Chains.- Operational Aspects of Sustainable Supply Chains.- Green Logistics.- Green Inventory Management.- Green Facility Location.- Operational Implications of Environmental Regulation.- Responsible Purchasing: Moving from Compliance to Value Creation in Supplier Relationships.- Green Technology Choice.- Principles of EcoDesign in Sustainable Supply Chains.- Business Models and Strategy in Sustainable Supply Chains.- Market Value Implications of Voluntary Corporate Environmental Initiatives.- Business Implications of Sustainability Practices in Supply Chains.- Moving from a Product-Based Economy to a Service-Based Economy for a More Sustainable Future.- Closed-Loop Supply Chains: A Strategic Overview.- Sustainable Food Supply Chain Design.- Risk and Uncertainty Management for Sustainable Supply Chains.- The Social Dimension of Sustainable Supply Chains.- Improving Social and Environmental Performance in Global Supply Chains.- Social Responsibility in Supply Chains.- Cross-Sector Partnerships for Sustainable Supply Chains.

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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.

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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.

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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.

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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.

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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.

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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.

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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).

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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.

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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.

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Book SynopsisThe preceding process of globalization and the continuously rising competitive pressure on manufacturing companies in more developed economies unveiled the limits of classical site-focused optimization approaches. The focus of network optimization shifts ever more towards an integrative view of manufacturing networks, striving for a harmonization of the strategy-, configuration- and coordination levels. This book presents such an integrative approach to the strategic management of manufacturing networks. Besides strategic network requirements, this book discusses the derivation of an optimal global footprint and the optimization of network coordination activities. Special attention is paid to the site roles concept, especially to the concept of 'lead factory'. A large number of up-to-date cases from the producing industry enrich the book and provide the reader with vivid examples for the application of the presented concepts. Hence, this book is a must-read for both practitioners and academic researchers.Trade ReviewFrom the book reviews:“The authors’ aim is to explore strategic management challenges around global manufacturing networks. … In terms of content and structure, the book follows a logical progression from theory to application, with plenty of examples thrown in. … it all comes together nicely, making the book both a pleasant and informative read. … an excellent source for key concepts and their application and the numerous and detailed industry examples are both illustrative and enjoyable to read.” (Jannis Angelis, Production Planning & Control, October, 2014)Table of ContentsDevelopment of Production Management- from Site to Network Optimisation.- A Model for Network Design.- Clarification of the Initial Strategic Situation.- The Network Configuration.- Network Coordination.- Analysis and Design of Networks in Practice.- Outlook and Summary.

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Book SynopsisOperations Research ist bei der immer noch zunehmenden Durchdringung betrieblicher und anderer Prozesse durch IT omnipräsent. Dieses Buch richtet sich an Studierende und Personen mit Praxiserfahrung, die keine tiefe mathematische Ausbildung genossen haben, und dennoch die Konzepte und Funktionsweisen der behandelten Modelle und Verfahren im Detail durchdringen möchten. Neben präzisen Analysen werden sowohl intuitive Erläuterungen als auch zahlreiche Beispiele aus den Anwendungsfeldern Produktion und Logistik geboten. Die Lernziele dieses Buches gehen über das reine Wissen um die behandelten Inhalte hinaus und umfassen ein tiefes Verständnis der strukturellen Eigenschaften und Funktionsweisen. Das Verständnis der Inhalte des Buchs befähigt daher zur selbstständigen (Weiter-)Entwicklung dieser Modelle und Verfahren, sei es im Rahmen des Studiums oder im Berufsumfeld. Table of Contents1. Einleitung.- 2. Modellierung.- 3. Lineare Optimierung.- 4. Gemischt-ganzzahlige Optimierung. 5. Metaheuristiken und Dekompositionsansätze.

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Book SynopsisThis textbook presents the basics of game theory both on an undergraduate level and on a more advanced mathematical level. It is the second, revised version of the successful 2008 edition. The book covers most topics of interest in game theory, including cooperative game theory. Part I presents introductions to all these topics on a basic yet formally precise level. It includes chapters on repeated games, social choice theory, and selected topics such as bargaining theory, exchange economies, and matching. Part II goes deeper into noncooperative theory and treats the theory of zerosum games, refinements of Nash equilibrium in strategic as well as extensive form games, and evolutionary games. Part III covers basic concepts in the theory of transferable utility games, such as core and balancedness, Shapley value and variations, and nucleolus. Some mathematical tools on duality and convexity are collected in Part IV. Every chapter in the book contains a problem section. Hints, answers and solutions are included.Trade Review“It can be used at an advanced undergraduate course or a graduate course. … I found the book very well written and appropriate for a game theory course focused on business and economics students and applications. Some of the problems are very challenging but most of them are at the appropriate level and the reader will have some fun and learn from them. This is a book that I recommend if you are interested in game theory … .” (Philosophy, Religion and Science Book Reviews, bookinspections.wordpress.com, June, 2016)“This book is therefore a very successful work on the task of providing the largest number of readers, independently of the initial levels of knowledge, an introduction to game theory simultaneously accessible and rigorous, with a wide exemplification of applications, allowing them to achieve efficiently an advanced level of knowledge in the field. Indispensable for teachers and both undergraduate and graduate students in game theory. Also for business and economics professionals, and everybody curious on these matters.” (Manuel Alberto M. Ferreira, Acta Scientiae et Intellectus, Vol. 2 (4), 2016)Table of ContentsIntroduction.- Part I Thinking Strategically.- Finite Two-Person Zero-Sum Games.- Finite Two-Person Games.- Finite Extensive Form Games.- Finite Games with Incomplete Information.- Noncooperative Games: Extensions.- Repeated Games.- An Introduction to Evolutionary Games.- Cooperative Games with Transferable Utility.- Cooperative Game Models.- Social Choice.- Part II Noncooperative Games.- Matrix Games.- Finite Games.- Extensive Form Games.- Evolutionary Games.- Part III Cooperative Games.- TU-Games: Dominationa, Stable Sets, and the Core.- The Shapley Value.- Core, Shapley Value, and Weber Set.- The Nucleolus.- Special Transferable Utility Games.- Bargaining Problems.- Part IV Tools.

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Book SynopsisScheduling theory has received a growing interest since its origins in the second half of the 20th century. Developed initially for the study of scheduling problems with a single objective, the theory has been recently extended to problems involving multiple criteria. However, this extension has still left a gap between the classical multi-criteria approaches and some real-life problems in which not all jobs contribute to the evaluation of each criterion.In this book, we close this gap by presenting and developing multi-agent scheduling models in which subsets of jobs sharing the same resources are evaluated by different criteria. Several scenarios are introduced, depending on the definition and the intersection structure of the job subsets. Complexity results, approximation schemes, heuristics and exact algorithms are discussed for single-machine and parallel-machine scheduling environments. Definitions and algorithms are illustrated with the help of examples and figures.Trade Review“It is very readable and precisely written. The major results are proved and 43 algorithmic descriptions are provided. The book contains also several numerical examples to illustrate the presented solution approaches. The book is recommended not only for researchers and practitioners working in scheduling, but also for graduate students since only basic knowledge in discrete mathematics, complexity theory, algorithms, and programming languages is required.” (Frank Werner, Mathematical Reviews, May, 2017)Table of Contents1. Multiagent Scheduling Fundamentals.- 2. Problems, Algorithms and Complexity.- 3. Single Machine Problems.- 4. Batching Scheduling Problems.- 5. Parallel Machine Scheduling Problems.- 6. Scheduling Problems with Variable Job Processing Times.- References.

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Book SynopsisAn empowering guide to career growth that reveals how to “be more lobster” —to never stop learning and pave the way to a meaningful working lifeIn today’s working world, careers are characterized by change. You can take control of your own development at any time, but many of us don't as we feel held back by time, money, or imposter syndrome. Careers used to be linear and ladder-like. They were about following in other people’s footsteps and focused on getting to the top. This predictable approach to careers no longer fits—and it doesn’t reflect people’s reality or their individuality.Enter the lobster, which never stops growing. Inspired by the lobster, superstar career coaches Helen Tupper and Sarah Ellis show you how to achieve a meaningful and motivating career: Ask questions, experiment every day, and increase your impact Grow in hard moments, take in feedback, and adapt to new circumstances And create your own opportunities to grow. By learning like a lobster, you will find the path to level up.

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