Stochastic modelling of flexible manufacturing systems

  • Authors:
  • N. Viswanadham;Y. Narahari;T. L. Johnson

  • Affiliations:
  • Department of Computer Science and Automation Indian Institute of Science, Bangalore 560 012, India;Department of Computer Science and Automation Indian Institute of Science, Bangalore 560 012, India;Control Systems Laboratory, General Electric CRD Center P.O. Box 8, Schenectady, NY 12301, U.S.A.

  • Venue:
  • Mathematical and Computer Modelling: An International Journal
  • Year:
  • 1992

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Abstract

Mathematical modelling plays a vital role in the design, planning and operation of flexible manufacturing systems (FMSs). In this paper, attention is focused on stochastic modelling of FMSs using Markov chains, queueing networks, and stochastic Petri nets. We bring out the role of these modelling tools in FMS performance evaluation through several illustrative examples and provide a critical comparative evaluation. We also include a discussion on the modelling of deadlocks which constitute an important source of performance degradation in fully automated FMSs.