Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book deals with decision making in environments of significant data un certainty, with particular emphasis on operations and production management applications. For such environments, we suggest the use of the robustness ap proach 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. The main motivating factors for a decision maker to use the robustness approach are: • It does not ignore uncertainty and takes a proactive step in response to the fact that forecasted values of uncertain parameters will not occur in most environments; • It applies to decisions of unique, non-repetitive nature, which are common in many fast and dynamically changing environments; • It accounts for the risk averse nature of decision makers; and • It recognizes that even though decision environments are fraught with data uncertainties, decisions are evaluated ex post with the realized data. For all of the above reasons, robust decisions are dear to the heart of opera tional decision makers. 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. Robust Discrete Optimization is a comprehensive mathematical programming framework for robust decision making.
Similar content being viewed by others
Keywords
Table of contents (9 chapters)
-
Front Matter
-
Back Matter
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)
OR Spektrum, 20:278 (1998)
Authors and Affiliations
Bibliographic Information
Book Title: Robust Discrete Optimization and Its Applications
Authors: Panos Kouvelis, Gang Yu
Series Title: Nonconvex Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4757-2620-6
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 1997
Hardcover ISBN: 978-0-7923-4291-5Published: 30 November 1996
Softcover ISBN: 978-1-4419-4764-2Published: 03 December 2010
eBook ISBN: 978-1-4757-2620-6Published: 09 March 2013
Series ISSN: 1571-568X
Edition Number: 1
Number of Pages: XVI, 358
Topics: Optimization, Operations Research/Decision Theory, Operations Management, Algorithms