Computing Robust Basestock Levels

 

Daniel Bienstock and Nuri Sercan Ozbay

Columbia University

New York, NY

 

We consider how to optimally set the basestock level for a single inventory buffer when the demand is uncertain, in a robust optimization 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.

 

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