Intelligent back end of a goal directed simulation environment for discrete-part manufacturing

ABSTRACT

This paper discusses the issues involved in developing an intelligent back end for a goal directed simulation environment. The intelligent back end serves to analyze the simulation output and suggest changes to the model parameters that may lead the simulation towards the goals. The main thrust is on incorporating domain behavioral knowledge to the back end. A discussion on issues that need to be considered when conducting a simulation analysis of manufacturing systems is given. This is followed by a classification of manufacturing systems developed to aid in the development of the rule base. This rule base essentially emulates the thought process of a simulation analyst. Finally a sample rule base is given, followed by future research directions.

REFERENCES

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE

Additional Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING

  J. Computer Applications
  J.7 COMPUTERS IN OTHER SYSTEMS
      Subjects: Industrial control

General Terms:
Design, Experimentation, Performance