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Improving Repetitive Manufacturing Systems: Model and Insights

Author

Listed:
  • Scott Webster

    (School of Management, Syracuse University, Syracuse, New York 13244-2130)

  • Z. Kevin Weng

    (School of Business, University of Wisconsin-Madison, Madison, Wisconsin, 53706-1323)

Abstract

We consider a manufacturing system that is controlled by a fixed-cycle smoothed production policy. This policy, which is becoming increasingly common in repetitive manufacturing environments, is characterized by a production rate that is updated on a periodic basis. We model the system as a stochastic process that includes parameters for vendor responsiveness, plant responsiveness, randomness in production yield rates, nonstationarity and randomness in market demand, demand forecast error, operating cost rates, and safety stock. Properties of the model expose structural relationships between expected system performance and system parameters.

Suggested Citation

  • Scott Webster & Z. Kevin Weng, 2001. "Improving Repetitive Manufacturing Systems: Model and Insights," Operations Research, INFORMS, vol. 49(1), pages 99-106, February.
    • Handle: RePEc:inm:oropre:v:49:y:2001:i:1:p:99-106
    DOI: 10.1287/opre.49.1.99.11194
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    References listed on IDEAS

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    Cited by:

    1. Peter M. Bernegger & Scott Webster, 2014. "Fixed-Cycle Smoothed Production Improves Lean Performance for Make-to-Stock Manufacturing," Interfaces, INFORMS, vol. 44(4), pages 411-427, August.

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