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Optimal Manufacturing-Remanufacturing Production Policy for a Closed-Loop Supply Chain under Fill Rate and Budget Constraint in Bifuzzy Environments

Author

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  • Soumita Kundu
  • Tripti Chakrabarti
  • Dipak Kumar Jana

Abstract

We study a closed-loop supply chain involving a manufacturing facility and a remanufacturing facility. The manufacturer satisfies stochastic market demand by remanufacturing the used product into “as-new” one and producing new products from raw material in the remanufacturing facility and the manufacturing facility, respectively. The remanufacturing cost depends on the quality of used product. The problem is maximizing the manufacturer’s expected profit by jointly determining the collected quantity of used product and the ordered quantity of raw material. Following that we analyze the model with a fill rate constraint and a budget constraint separately and then with both the constraints. Next, to handle the imprecise nature of some parameters of the model, we develop the model with both constraints in bifuzzy environment. Finally numerical examples are presented to illustrate the models. The sensitivity analysis is also conducted to generate managerial insight.

Suggested Citation

  • Soumita Kundu & Tripti Chakrabarti & Dipak Kumar Jana, 2014. "Optimal Manufacturing-Remanufacturing Production Policy for a Closed-Loop Supply Chain under Fill Rate and Budget Constraint in Bifuzzy Environments," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2014, pages 1-14, June.
    • Handle: RePEc:hin:jijmms:690435
    DOI: 10.1155/2014/690435
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    References listed on IDEAS

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    1. Srinivas Bollapragada & Thomas E. Morton, 1999. "Myopic Heuristics for the Random Yield Problem," Operations Research, INFORMS, vol. 47(5), pages 713-722, October.
    2. Erwin van der Laan & Marc Salomon & Rommert Dekker & Luk Van Wassenhove, 1999. "Inventory Control in Hybrid Systems with Remanufacturing," Management Science, INFORMS, vol. 45(5), pages 733-747, May.
    3. Arthur Hsu & Yehuda Bassok, 1999. "Random Yield and Random Demand in a Production System with Downward Substitution," Operations Research, INFORMS, vol. 47(2), pages 277-290, April.
    4. Choi, Dae-Won & Hwang, Hark & Koh, Shie-Gheun, 2007. "A generalized ordering and recovery policy for reusable items," European Journal of Operational Research, Elsevier, vol. 182(2), pages 764-774, October.
    5. Dobos, Imre & Richter, Knut, 2004. "An extended production/recycling model with stationary demand and return rates," International Journal of Production Economics, Elsevier, vol. 90(3), pages 311-323, August.
    6. Inderfurth, Karl, 2004. "Optimal policies in hybrid manufacturing/remanufacturing systems with product substitution," International Journal of Production Economics, Elsevier, vol. 90(3), pages 325-343, August.
    7. Candace Arai Yano & Hau L. Lee, 1995. "Lot Sizing with Random Yields: A Review," Operations Research, INFORMS, vol. 43(2), pages 311-334, April.
    8. Burak Kazaz, 2004. "Production Planning Under Yield and Demand Uncertainty with Yield-Dependent Cost and Price," Manufacturing & Service Operations Management, INFORMS, vol. 6(3), pages 209-224, October.
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