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Approximate Policies for Hybrid Production and Rework Systems with Stochastic Demand and Yield

In: Operations Research Proceedings 2004

Author

Listed:
  • Christian Gotzel

    (Otto von Guericke University of Magdeburg)

  • Karl Inderfurth

    (Otto von Guericke University of Magdeburg)

Abstract

We consider a production inventory problem under periodic review with stochastic demand and stochastically proportional yield. Defective products (i.e. the yield loss) arising from the unreliable production process can be temporarily stored in an inventory and passed through a rework process. Rework is completely reliable and brings defective products up to the same quality level as new ones, so that they can be used for demand fulfilment. We focus on the application of linear heuristic policies similar to those emerging from MRP application, and develop simple expressions for the computation of policy parameters. Results of a numerical study indicate that the heuristic approach performs quite well.

Suggested Citation

  • Christian Gotzel & Karl Inderfurth, 2005. "Approximate Policies for Hybrid Production and Rework Systems with Stochastic Demand and Yield," Operations Research Proceedings, in: Hein Fleuren & Dick Hertog & Peter Kort (ed.), Operations Research Proceedings 2004, pages 41-49, Springer.
    • Handle: RePEc:spr:oprchp:978-3-540-27679-1_6
    DOI: 10.1007/3-540-27679-3_6
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    Cited by:

    1. Peter Berling & Danja R. Sonntag, 2022. "Inventory control in production–inventory systems with random yield and rework: The unit‐tracking approach," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2628-2645, June.
    2. Sonntag, Danja & Kiesmüller, Gudrun P., 2018. "Disposal versus rework – Inventory control in a production system with random yield," European Journal of Operational Research, Elsevier, vol. 267(1), pages 138-149.

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