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In the consumer packaged goods industry, usually a large number of final items are produced in a highly automated flow line production system. Florian Seeanner presents a mathematical model which is an improved version of the General Lot-Sizing and Scheduling Problem for Multiple production Stages (GLSPMS) to tackle the problem of shifting bottlenecks. Especially, a new meta-heuristic is developed which combines the principles of Variable Neighborhood Decomposition Search (VNDS) and Exchange. This VNDS+E heuristic is able to find very good solutions for the improved GLSPMS, including a real-world problem case. Finally, further model extensions, e.g., for scarce setup resources, are proposed.    Contents ·         Simultaneous Lot-Sizing and Scheduling for Flow Line Production Systems ·         MIP Models and Heuristic Solution Procedures ·         Practical Application    Target Groups ·         Researchers and students in the field of production planning ·         Executives in this area     The Author Dr. Florian Seeanner wrote his dissertation under Prof. Dr. Herbert Meyr’s supervision at the Chair of Production and Supply Chain Management at the Technische Universität Darmstadt.     The Editors The series Produktion und Logistik is edited by Prof. Dr. Bernhard Fleischmann, Prof. Dr. Martin Grunow, Prof. Dr. Hans-Otto Günther, Prof. Dr. Stefan Helber, Prof. Dr. Karl Inderfurth, Prof. Dr. Herbert Kopfer, Prof. Dr. Herbert Meyr, Prof. Dr. Thomas S. Spengler, Prof. Dr. Hartmut Stadtler, Prof. Dr. Horst Tempelmeier und Prof. Dr. Gerhard Wäscher.

Business & Economics --- Economic Theory --- Production planning. --- Manufacturing planning --- Process planning --- Business. --- Operations research. --- Decision making. --- Business and Management. --- Operation Research/Decision Theory. --- Planning --- Production engineering --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making

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The Analytic Network Process (ANP), developed by Thomas Saaty in his work on multicriteria decision making, applies network structures with dependence and feedback to complex decision making. This new edition of Decision Making with the Analytic Network Process is a selection of the latest applications of ANP to economic, social and political decisions, and also to technological design. The ANP is a methodological tool that is helpful to organize knowledge and thinking, elicit judgments registered in both in memory and in feelings, quantify the judgments and derive priorities from them, and finally synthesize these diverse priorities into a single mathematically and logically justifiable overall outcome. In the process of deriving this outcome, the ANP also allows for the representation and synthesis of diverse opinions in the midst of discussion and debate. The book focuses on the application of the ANP in three different areas: economics, the social sciences and the linking of measurement with human values. Economists can use the ANP for an alternate approach for dealing with economic problems than the usual mathematical models on which economics bases its quantitative thinking. For psychologists, sociologists and political scientists, the ANP offers the methodology they have sought for some time to quantify and derive measurements for intangibles.  Finally the book applies the ANP to provide people in the physical and engineering sciences with a quantitative method to link hard measurement to human values.  In such a process, one is able to interpret the true meaning of measurements made on a uniform scale using a unit.

Business. --- Decision making -- Mathematical models. --- Problem solving. --- Management --- Business & Economics --- Management Theory --- Decision making --- Mathematical models. --- Operations research. --- Decision making. --- Management science. --- Econometrics. --- Business and Management. --- Operation Research/Decision Theory. --- Operations Research, Management Science. --- Methodology --- Psychology --- Executive functions (Neuropsychology) --- Operations Research/Decision Theory. --- Economics, Mathematical --- Statistics --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology)

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The positive reciprocal pairwise comparison matrix (PCM) is one of the key components which is used to quantify the qualitative and/or intangible attributes into measurable quantities. This book examines six understudied issues of PCM, i.e.  consistency test, inconsistent data identification and adjustment, data collection, missing or uncertain data estimation, and sensitivity analysis of rank reversal. The maximum eigenvalue threshold method is proposed as the new consistency index for the AHP/ANP. An induced bias matrix model (IBMM) is proposed to identify and adjust the inconsistent data, and estimate the missing or uncertain data. Two applications of IBMM including risk assessment and decision analysis, task scheduling and resource allocation in cloud computing environment, are introduced to illustrate the proposed IBMM.

Decision making -- Data processing. --- Decision support systems. --- Electronic data processing -- Distributed processing -- Management. --- Decision making --- Electronic data processing --- Management --- Business & Economics --- Management Theory --- Data processing --- Mathematical models --- Distributed processing --- Decision making. --- Business --- Data processing. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Business. --- Operations research. --- Business and Management. --- Operation Research/Decision Theory. --- Choice (Psychology) --- Problem solving --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory

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Although several books or monographs on multiobjective optimization under uncertainty have been published, there seems to be no book which starts with an introductory chapter of linear programming and is designed to incorporate both fuzziness and randomness into multiobjective programming in a unified way. In this book, five major topics, linear programming, multiobjective programming, fuzzy programming, stochastic programming, and fuzzy stochastic programming, are presented in a comprehensive manner. Especially, the last four topics together comprise the main characteristics of this book, and special stress is placed on interactive decision making aspects of multiobjective programming for human-centered systems in most realistic situations under fuzziness and/or randomness. Organization of each chapter is briefly summarized as follows:  Chapter 2 is a concise and condensed description of the theory of linear programming and its algorithms. Chapter 3 discusses fundamental notions and methods of multiobjective linear programming and concludes with interactive multiobjective linear programming. In Chapter 4, starting with clear explanations of fuzzy linear programming and fuzzy multiobjective linear programming, interactive fuzzy multiobjective linear programming is presented. Chapter 5 gives detailed explanations of fundamental notions and methods of stochastic programming including two-stage programming and chance constrained programming.  Chapter 6 develops several interactive fuzzy programming approaches to multiobjective stochastic programming problems. Applications to purchase and transportation planning for food retailing are considered in Chapter 7. The book is self-contained because of the three appendices and answers to problems. Appendix A contains a brief summary of the topics from linear algebra. Pertinent results from nonlinear programming are summarized in Appendix B. Appendix C is a clear explanation of the Excel Solver, one of the easiest ways to solve optimization problems, through the use of simple examples of linear and nonlinear programming.

Management --- Business & Economics --- Management Theory --- Business. --- Operations research. --- Decision making. --- Management science. --- Probabilities. --- Business and Management. --- Operation Research/Decision Theory. --- Operations Research, Management Science. --- Probability Theory and Stochastic Processes. --- Distribution (Probability theory. --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Economics. --- Distribution (Probability theory) --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Decision making

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The Pipeline and Hazardous Materials Safety Administration of the U.S. Department of Transportation defines hazardous materials (hazmat) as a substance or material capable of posing an unreasonable risk to health, safety, or property when transported in commerce. Hazmat accidents can result in significant impact to the population (death, injuries) and damage to the environment (destroyed or damaged buildings and infrastructure). Further, hazmat, especially explosive materials, can potentially be used by terrorists to attack civilians or to destroy critical infrastructure. This handbook provides models from Operations Research and Management Science that study various activities involving hazmat transportation: risk assessment, route planning, location decisions, evacuation planning, and emergency planning for terrorist attacks. There are two important research areas in hazmat transportation that are widely studied in the literature: risk assessment and shipment planning. In the risk assessment area, important issues include measurement of accident probabilities and consequences in hazmat transport. Example works in the risk assessment area include modeling risk probability distribution over given areas, considering hazmat types and transport modes, and environmental conditions. The first half of this handbook covers the two fields of risk assessment and shipment planning, while the second half of this handbook provides useful models and insights on other important issues including location problems for undesirable facilities, network interdiction, terrorist attack, and evacuation.

Hazardous substances --- Operations research --- Management science --- Management --- Business & Economics --- Management Theory --- Transportation --- Operations research. --- Management science. --- Quantitative business analysis --- Operational analysis --- Operational research --- Business. --- Transportation. --- Decision making. --- Business and Management. --- Operation Research/Decision Theory. --- Operations Research, Management Science. --- Problem solving --- Statistical decision --- Industrial engineering --- Research --- System theory --- Operations Research/Decision Theory. --- Public transportation --- Transport --- Transportation, Primitive --- Transportation companies --- Transportation industry --- Locomotion --- Commerce --- Communication and traffic --- Storage and moving trade --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Economic aspects --- Decision making