Modeling Experience Using Multivariate Statistics

  • Jerrold H. May
  • Luis G. Vargas
Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 4)

Abstract

In an environment where dynamic planning over a rolling horizon together with system monitoring is required, such as in a production environment where lots are released on a frequent basis, an intelligent computer support system may be of particular value if it is capable of (a) recognizing the occurrence of unusual states of the shop floor, such as congestion at bottlenecks, and (b) evaluating the relative desirability of two or more possible courses of action of time. Experience equips humans with those capabilities. This paper describes how we use a multivariate statistical approach for mechanizing experience in a hybrid OR/AI shop floor planning and control system.

Keywords

Furnace Zirconium Covariance Product Line Nash 

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Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Jerrold H. May
    • 1
  • Luis G. Vargas
    • 1
  1. 1.Artificial Intelligence in Management Laboratory Joseph M. Katz Graduate School of BusinessUniversity of PittsburghPittsburghUSA

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