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Physical Sciences and Engineering Mathematics Control and Optimization

Computing robust basestock levels

Article ID Journal Published Year Pages File Type
1141852 Discrete Optimization 2008 26 Pages PDF
Abstract

This paper considers how to optimally set the basestock level for a single buffer when demand is uncertain, in a robust framework. We present a family of algorithms based on decomposition that scale well to problems with hundreds of time periods, and theoretical results on more general models.

Keywords
Integer programmingRobust optimization
Related Topics
Physical Sciences and Engineering Mathematics Control and Optimization
Preview
Computing robust basestock levels
Authors
Daniel Bienstock, Nuri Ă–zbay,
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