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

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Operations Research Proceedings 2004

Part of the book series: Operations Research Proceedings ((ORP,volume 2004))

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.

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References

  1. Bollapragada S, Morton T (1999) Myopic heuristics for the random yield problem. Operations Research 47(5):713–722

    Article  Google Scholar 

  2. Gerchak Y, Vickson R, Parlar M (1988) Periodic review production models with variable yield and uncertain demand. HE Transactions 20:144–150

    Google Scholar 

  3. Henig M, Gerchak Y (1990) The structure of periodic review policies in the presence of random yield. Operations Research 38(4):634–643

    MathSciNet  Google Scholar 

  4. Inderfurth K, Jensen T (1999) Analysis of MRP with recovery options. In: Leopold-Wildburger U, Feichtinger G, Kistner K (eds) Modelling and decisions in economics, Springer, Heidelberg, pp 189–228

    Google Scholar 

  5. van der Laan E, Kiesmüller G, Kuik R, Vlachos D, Dekker R (2004) Stochastic inventory control for product recovery management. In: Dekker R, Fleischmann M, Inderfurth K, van Wassenhove, L (eds) Reverse Logistics: Quantitative models for closed-loop supply chains, Springer, Heidelberg, pp 181–220

    Google Scholar 

  6. Minner S, Lindner, G (2004) Lot sizing decisions in product recovery management. In: Dekker R, Fleischmann M, Inderfurth K, van Wassenhove, L (eds) Reverse Logistics: Quantitative models for closed-loop supply chains, Springer, Heidelberg, pp 157–179

    Google Scholar 

  7. Zipkin PH (2000) Foundations of inventory management, McGraw-Hill, Boston

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Gotzel, C., Inderfurth, K. (2005). Approximate Policies for Hybrid Production and Rework Systems with Stochastic Demand and Yield. In: Fleuren, H., den Hertog, D., Kort, P. (eds) Operations Research Proceedings 2004. Operations Research Proceedings, vol 2004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27679-3_6

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