Bücher der Reihe International Series in Operations Research & Management Science

Chapter 10 is a tutorial that addresses the problem of product disposition on a closed-loop supply chain: what should a firm do with a product return?Chapters 11-15 address measurement, monitoring, decision-making, and reporting regarding environmental issues in a firm.

As a fundamental problem in stochastic inventory control, the newsvendor problem has been studied since the 18th century in the economic literature, and has been widely used to analyze supply chains in fashion and seasonal product industries.

This is the first book to offer a complete spectrum of the role that operations research has played and can play in the improvement of North American freight railroads. The Handbook of Operations Research Applications at Railroads is an ideal resource for academics, experienced researchers, and consultants in the field.

Socially responsible investment is a "new deal" championed by the institutional investment and bank sectors, agents that influence mutual funds and other collective investment schemes and which fear that financial strategies without ethical constraints can harm sustainable growth and prosperity.

Handbook of Operations Research in Agriculture and the Agri-Food Industry

This book includes case studies that examine the application of operations research to improve or increase efficiency in industry and operational activities.

Applications of Location Analysis

This volume could provide an excellent introduction to the field of operations research applied to health-care policy, and it could also serve as an introduction to new areas for researchers already familiar with the topic.The book is divided into six sections.

This third edition, which has been fully updated and now includes improved and extended explanations, is suitable as a core textbook as well as a source book for industry practitioners.

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.

Contract Analysis and Design for Supply Chains with Stochastic Demand

The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems.

In two volumes, this new edition presents the state of the art in Multiple Criteria Decision Analysis (MCDA). Reflecting the explosive growth in the field seen during the last several years, the editors not only present surveys of the foundations of MCDA, but look as well at many new areas and new applications. Individual chapter authors are among the most prestigious names in MCDA research, and combined their chapters bring the field completely up to date.Part I of the book considers the history and current state of MCDA, with surveys that cover the early history of MCDA and an overview that discusses the ¿pre-theoretical¿ assumptions of MCDA.  Part II then presents the foundations of MCDA, with individual chapters that provide a very exhaustive review of preference modeling, along with a chapter devoted to the axiomatic basis of the different models that multiple criteria preferences.  Part III looks at outranking methods, with three chapters that consider the ELECTRE methods, PROMETHEE methods, and a look at the rich literature of other outranking methods.Part IV, on Multiattribute Utility and Value Theories (MAUT), presents chapters on the fundamentals of this approach, the very well known UTA methods, the Analytic Hierarchy Process (AHP) and its more recent extension, the Analytic Network Process (ANP), as well as a chapter on MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique).  Part V looks at Non-Classical MCDA Approaches, with chapters on risk and uncertainty in MCDA, the decision rule approach to MCDA, the fuzzy integral approach, the verbal decision methods, and a tentative assessment of the role of fuzzy sets in decision analysis.Part VI, on Multiobjective Optimization, contains chapters on recent developments of vector and set optimization, the state of the art in continuous multiobjective programming, multiobjective combinatorial optimization, fuzzy multicriteria optimization, a review ofthe field of goal programming, interactive methods for solving multiobjective optimization problems, and relationships between MCDA and evolutionary multiobjective optimization (EMO).  Part VII, on Applications, selects some of the most significant areas, including contributions of MCDA in finance, energy planning problems, telecommunication network planning and design, sustainable development, and portfolio analysis.  Finally, Part VIII, on MCDM software, presents well known MCDA software packages.

This book provides a broad coverage of the recent advances in robustness analysis in decision aiding, optimization, and analytics. It offers a comprehensive illustration of the challenges that robustness raises in different operations research and management science (OR/MS) contexts and the methodologies proposed from multiple perspectives. Aside from covering recent methodological developments, this volume also features applications of robust techniques in engineering and management, thus illustrating the robustness issues raised in real-world problems and their resolution within advances in OR/MS methodologies.Robustness analysis seeks to address issues by promoting solutions, which are acceptable under a wide set of hypotheses, assumptions and estimates. In OR/MS, robustness has been mostly viewed in the context of optimization under uncertainty. Several scholars, however, have emphasized the multiple facets of robustness analysis in a broader OR/MS perspective that goes beyond the traditional framework, seeking to cover the decision support nature of OR/MS methodologies as well. As new challenges emerge in a ¿big-data'¿ era, where the information volume, speed of flow, and complexity increase rapidly, and analytics play a fundamental role for strategic and operational decision-making at a global level, robustness issues such as the ones covered in this book become more relevant than ever for providing sound decision support through more powerful analytic tools.

This focuses on the developing field of building probability models with the power of symbolic algebra systems. Computational Probability Applications is comprised of fifteen chapters, each presenting a specific application of computational probability using the APPL modeling and computer language.

This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL).

Profiles in Operations Research: Pioneers and Innovators recounts the development of the field of Operations Research (OR), the science of decision making.

In scheduling theory, the models that have attracted considerable attention during the last two decades allow the processing times to be variable, i.e., to be subjected to various effects that make the actual processing time of a job dependent on its location in a schedule.

This festschrift is devoted to Dr. Salah E. Elmaghraby, a pioneer in the area of project scheduling. It presents the state-of-the-art in production planning and project management as well as focuses on the development and analysis of activity network models.

This book presents an overview of the risks involved in modern electricity production, delivery and trading, including technical risk in production, transportation and delivery, operational risk for the system operators, market risks for traders, and political and other long term risks in strategic management.

The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives.

Socially responsible investment is a "new deal" championed by the institutional investment and bank sectors, agents that influence mutual funds and other collective investment schemes and which fear that financial strategies without ethical constraints can harm sustainable growth and prosperity.

Over the years, Professor Charles S. Tapiero has produced over 300 papers and communications and 14 books, which have had a major impact on modern theoretical and applied research. This book honors his many scientific achievements.

Chapter 12 discusses a DEA modeling technique for a two-stage network process where the inputs of the second stage include both the outputs from the first stage and additional inputs to the second stage. Chapter 21 presents an application of a two-stage network DEA model for examining the performance of 30 U.S. airline companies.

This book offers cutting-edge research developments and applications of Hidden Markov Models (HMMs) to finance and closely allied fields. It will help readers to use HMMs to accurately and efficiently capture many of the processes in the financial market.

This book examines the state of the art in green transportation logistics from the perspective of balancing environmental performance in the transportation supply chain while also satisfying traditional economic performance criteria.

This new edition focuses on three crucial areas of retail supply chain management: (1) empirical studies of retail supply chain practices, (2) assortment and inventory planning and (3) integrating price optimization into retail supply chain decisions.

This is the first book to offer a complete spectrum of the role that operations research has played and can play in the improvement of North American freight railroads. The Handbook of Operations Research Applications at Railroads is an ideal resource for academics, experienced researchers, and consultants in the field.