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Production planning and pricing policy in a make-to-stock system with uncertain demand subject to machine breakdowns

Author

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  • Shi, Xiutian
  • Shen, Houcai
  • Wu, Ting
  • Cheng, T.C.E.

Abstract

We consider a make-to-stock system served by an unreliable machine that produces one type of product, which is sold to customers at one of two possible prices depending on the inventory level at the time when a customer arrives (i.e., the decision point). The system manager must determine the production level and selling price at each decision point. We first show that the optimal production and pricing policy is a threshold control, which is characterized by three threshold parameters under both the long-run discounted profit and long-run average profit criteria. We then establish the structural relationships among the three threshold parameters that production is off when inventory is above the threshold, and that the optimal selling price should be low when inventory is above the threshold under the scenario where the machine is down or up. Finally we provide some numerical examples to illustrate the analytical results and gain additional insights.

Suggested Citation

  • Shi, Xiutian & Shen, Houcai & Wu, Ting & Cheng, T.C.E., 2014. "Production planning and pricing policy in a make-to-stock system with uncertain demand subject to machine breakdowns," European Journal of Operational Research, Elsevier, vol. 238(1), pages 122-129.
    • Handle: RePEc:eee:ejores:v:238:y:2014:i:1:p:122-129
    DOI: 10.1016/j.ejor.2014.03.017
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    References listed on IDEAS

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    5. Sobhani, A. & Wahab, M.I.M. & Neumann, W.P., 2017. "Incorporating human factors-related performance variation in optimizing a serial system," European Journal of Operational Research, Elsevier, vol. 257(1), pages 69-83.
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