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Case Studies

  • Abhijit Gosavi
Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 25)

Abstract

In this chapter, we will describe some case studies, which use simulation-based parametric or control optimization techniques to solve large-scale stochastic optimization problems. We will provide a general description of the problem and of the approach used in the solution process, rather than describing numerical details. Some of the problems discussed here can be solved both by control optimization and by parametric optimization methods.

Keywords

Supply Chain Control Chart Reinforcement Learning Inventory Control Automate Guide Vehicle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Abhijit Gosavi
    • 1
  1. 1.Department of Industrial EngineeringThe State University of New YorkBuffaloUSA

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