Computing robust basestock levels

  • Authors:
  • Daniel Bienstock;Nuri ÖZbay

  • Affiliations:
  • Columbia University, New York, NY 10027, United States;Columbia University, New York, NY 10027, United States

  • Venue:
  • Discrete Optimization
  • Year:
  • 2008

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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.