Bøker i Handbooks in Operations Research and Management Science-serien

The papers in this volume consider a general area of study known as network routeing: how we can best route material or people from one place to another. The underlying problems are conceptually simple, yet mathematically complex.

This text presents papers reflecting the wide range of theories and applications of network models. Several chapters model issues in the domains of telecommunications and transportation.

Suitable for those who want to learn about discrete optimization, this book covers nine topics that are representative of theoretical and algorithmic developments in the field. It presents algorithms which use reduced bases of integer lattices that are capable of solving certain classes of integer programs that defy solution by branch-and-cut.

One of the central problems in operations research and management science is how to quantify the effects of uncertainty about the future. This book discusses models where chance events play a major role. It surveys topics in applied probability that have been particularly useful in operations research and management science.

In this text, marketing scientists with an MS/OR orientation present reviews of their areas of expertise. The wide range of material spans the marketing discipline and represents coverage of what is known, as well as what problem areas present themselves as ripe for further development.

Contains 11 chapters describing methodological operations research developments in transportation. Examining transport and its relationship with operations and management science, this title also addresses the organization and control of recovery operations in the event of disturbances. It is intended for researchers, students and practitioners.

A collection of chapters on key issues in the design and analysis of computer simulation experiments on models of stochastic systems. It focuses on design and analysis issues and intends to survey the concepts, principles, tools and techniques that underlie the theory and practice of stochastic simulation design and analysis.

The goals of financial engineering research are to develop realistic stochastic models describing dynamics of financial risk variables. This title describes developments in this field in the areas of modeling and pricing financial derivatives, building models of interest rates and credit risk, risk management, and portfolio optimization.

A treatment of a variety of public sector applications of Operations Research methods, including those relating to the military, urban services, crime and justice, health and administration, air and water quality, natural resources management, hazardous facility siting and voting theory.

This handbook contains chapters covering a broad range of supply chain management issues written by leading experts in the field. It is aimed at researchers, students, engineers, economists and managers involved in supply chain management.

Brings together leading in the most important sub-fields of stochastic programming to present a rigourous overview of basic models, methods and applications of stochastic programming. The text is intended for researchers, students, engineers and economists, who encounter in their work optimization problems involving uncertainty.