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A closed queuing maintenance network for automated manufacturing systems

Author

Listed:
  • C Lin

    (National Cheng Kung University)

  • J-R Ding

    (Southern Taiwan University of Technology)

  • J-M Yeh

    (National Cheng Kung University)

Abstract

This paper models an unreliable automated manufacturing system (AMS) by a closed queuing network. The AMS consists of a multi-stage network of automated work stations linked by a computer. A closed queuing algorithm is applied to determine the system availability under steady state for the AMS. This algorithm is then integrated into a cost optimization model. By applying the revised genetic algorithm, the optimal (or near-optimal) number of standby units and repair rates for the repair stations are derived by minimizing the total cost. The model is verified by the intuitive results from the sensitivity analysis. A numerical example is used to compare the revised genetic algorithm and the conventional genetic algorithm. The results show that the proposed revised algorithm leads to significant improvement in execution time and lower average total cost.

Suggested Citation

  • C Lin & J-R Ding & J-M Yeh, 2001. "A closed queuing maintenance network for automated manufacturing systems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(10), pages 1121-1129, October.
    • Handle: RePEc:pal:jorsoc:v:52:y:2001:i:10:d:10.1057_palgrave.jors.2601175
    DOI: 10.1057/palgrave.jors.2601175
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    Cited by:

    1. Vardar, Cem & Gel, Esma S. & Fowler, John W., 2007. "A framework for evaluating remote diagnostics investment decisions for semiconductor equipment suppliers," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1411-1426, August.

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