Robust Discrete Optimization and Its Applications

By: Panos Kouvelis, Gang Yu

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Hardcover | 1 November 1996

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Hardcover
380 Pages

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25.4 x 17.15 x 2.54

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This book deals with decision making in environments of significant data uncertainty, with particular emphasis on operations and production management applications. For such environments, we suggest the use of the robustness approach to decision making, which assumes inadequate knowledge of the decision maker about the random state of nature and develops a decision that hedges against the worst contingency that may arise. Robust Discrete Optimization is a comprehensive mathematical programming framework for robust decision making. This book takes a giant first step in presenting decision support tools and solution methods for generating robust decisions in a variety of interesting application environments such as: linear programming, assignment problems, shortest paths, minimum spanning trees, knapsack problems, resource allocation, scheduling, production planning, location, inventory, layout planning, network design, and international sourcing. Beyond theoretical results, the book provides many suggestions and useful advice to the practitioners of the robustness approach. Emphasis is placed upon the assessment of the decision environment for applicability of the approach, structuring of data uncertainty and the scenario generation process, choice of appropriate robustness criteria, and formulation and solution of robust decision problems. Audience: The book will be of interest to researchers, practitioners and graduate students working in the fields of operations research, management science, industrial and systems engineering, computer science, decision analysis and applied mathematics.

Industry Reviews

`....I recommend the book, which in large parts is easy to read, as a consistent and interesting entry into the field of robust optimization.'
OR Spektrum, 20:278 (1998)

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You Can Find This Book In

Non-Fiction Mathematics Applied Mathematics Engineering & Technology Technology in General Engineering in General Computing & I.T.Computer Programming & Software Development Optimisation Linear Programming

Preface
Approaches to Handle Uncertainty In Decision Making
A Robust Discrete Optimization Framework
Computational Complexity Results of Robust Discrete Optimization Problems
Easily Solvable Cases of Robust Discrete Optimization Problems
Algorithmic Developments for Difficult Robust Discrete Optimization Problems
Robust 1-Median Location Problems: Dynamic Aspects and Uncertainty
Robust Scheduling Problems
Robust Uncapacitated Network Design and International Sourcing Problems
Robust Discrete Optimization: Past Successes and Future Challenges
Table of Contents provided by Publisher. All Rights Reserved.

Robust Discrete Optimization and Its Applications

At a Glance

Hardcover

Industry Reviews

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How to return your order

Defective items

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