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An integrated method for multiobjectives cell formation in cellular manufacturing systems

Author

Listed:
  • Bin Hu
  • Mingyuan Chen
  • F.M. Defersha

Abstract

In this research, an integrated method was developed to solve a multiobjective cell formation problem. The method consists of an integer programming model, a heuristic algorithm for generating alternative cell formations, a computer simulation model for investigating system performances and a Back Propagation (BP) artificial neural network model for selecting the best system configuration. The criteria considered in solving the overall cell formation problem include system related costs, part completion times, queue lengths and machine utilisation. The BP neural network is designed to incorporate expert experience to evaluate different cell formations considering system costs and performances. Numerical examples are provided to test and illustrate the model and the developed method.

Suggested Citation

  • Bin Hu & Mingyuan Chen & F.M. Defersha, 2007. "An integrated method for multiobjectives cell formation in cellular manufacturing systems," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 11(3/4), pages 355-372.
    • Handle: RePEc:ids:ijmtma:v:11:y:2007:i:3/4:p:355-372
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