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Modelling of FMS control policy: AIS-based fuzzy expert system

Author

Listed:
  • Anuj Prakash
  • S.G. Deshmukh

Abstract

In this paper, an artificial immune system- (AIS-)based fuzzy expert system is developed for a flexible manufacturing system (FMS) to make the real-time decision in the randomly changing marketing and production environments. In FMS context, any direct mathematical relationship between system attributes and performance measures and their effect on controlling policy is not available. The novelty of the paper is that it makes a unique attempt to map an abstract relationship of system attributes with various performance measures. It also provides the estimation of the change required in the self-configured control policy of an FMS. The evolutionary algorithm AIS is used for searching the suboptimal rule base. The efficacy of the proposed system has been shown by an illustrative example.

Suggested Citation

  • Anuj Prakash & S.G. Deshmukh, 2011. "Modelling of FMS control policy: AIS-based fuzzy expert system," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 8(1), pages 38-60.
    • Handle: RePEc:ids:ijisen:v:8:y:2011:i:1:p:38-60
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