On-line knowledge-based simulation for FMS: a state of the art survey

  • Authors:

  • Lissette R. Gonzalez;Marelys L. Garcia;Martha A. Centeno

  • Affiliations:

  • Department of Industrial and Systems Engineering, College of Engineering and Design, Florida International University, Miami, Florida;Department of Industrial and Systems Engineering, College of Engineering and Design, Florida International University, Miami, Florida;Department of Industrial and Systems Engineering, College of Engineering and Design, Florida International University, Miami, Florida

  • Venue:
  • WSC '96 Proceedings of the 28th conference on Winter simulation
  • Year:
  • 1996

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Abstract

Simulation modeling has been widely used to study many aspects of FMS design, planing and control. Yet, simulation modeling still offers other capabilities that are proven to be effective for the on-line control of FMS. An example of it is the training of neural nets off-line, so that it will later control the decision making process when the FMS is in operation. if the neural net runs out of knowledge, it turns back to a simulation model to learn new situations. In this paper, we review the various ways in which on-line knowledge-based simulation for FMS has been approached. This paper represents the early stages of on-going research efforts at Florida International University.