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Inventory optimization in a one product recoverable manufacturing system

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  • Sebnem Ahiska, S.
  • King, Russell E.

Abstract

Environmental regulations or the necessity for a 'green image' due to growing environmental concerns, as well as the potential economical benefits of product recovery, have pushed manufacturers to integrate product recovery management with their manufacturing process. Consequently, production planning and inventory control of recoverable manufacturing systems has gained significant interest among researchers who aim to contribute to industrial practice. This paper considers inventory optimization of a single product recoverable manufacturing system where customer demands are satisfied through either regular production (manufacturing) of new items or remanufacturing of returned items. We present robust, implementable characterizations of the optimal manufacturing/remanufacturing inventory policies found using Markov decision processes. We extend the results in the literature by considering setup costs and different lead time cases for manufacturing and remanufacturing.

Suggested Citation

  • Sebnem Ahiska, S. & King, Russell E., 2010. "Inventory optimization in a one product recoverable manufacturing system," International Journal of Production Economics, Elsevier, vol. 124(1), pages 11-19, March.
    • Handle: RePEc:eee:proeco:v:124:y:2010:i:1:p:11-19
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    References listed on IDEAS

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    Cited by:

    1. Ta-Yu Chen & Woo-Tsong Lin & Chwen Sheu, 2018. "A Dynamic Failure Rate Forecasting Model for Service Parts Inventory," Sustainability, MDPI, vol. 10(7), pages 1-23, July.
    2. Liao, Haolan & Zhang, Qingyu & Shen, Neng & Nie, Yongyou & Li, Lu, 2021. "Coordination between forward and reverse production streams for maximum profitability," Omega, Elsevier, vol. 104(C).
    3. Muris Lage Junior & Moacir Godinho Filho, 2017. "Master disassembly scheduling in a remanufacturing system with stochastic routings," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 123-138, March.
    4. Kilic, Onur A. & Tunc, Huseyin, 2019. "Heuristics for the stochastic economic lot sizing problem with remanufacturing under backordering costs," European Journal of Operational Research, Elsevier, vol. 276(3), pages 880-892.
    5. Kilic, Onur A. & Tunc, Huseyin & Tarim, S. Armagan, 2018. "Heuristic policies for the stochastic economic lot sizing problem with remanufacturing under service level constraints," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1102-1109.
    6. Rafael Diaz & Erika Marsillac, 2017. "Evaluating strategic remanufacturing supply chain decisions," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2522-2539, May.
    7. Ahiska, S. Sebnem & Appaji, Samyuktha R. & King, Russell E. & Warsing, Donald P., 2013. "A Markov decision process-based policy characterization approach for a stochastic inventory control problem with unreliable sourcing," International Journal of Production Economics, Elsevier, vol. 144(2), pages 485-496.
    8. Bertazzi, Luca, 2011. "Determining the optimal dimension of a work-in-process storage area," International Journal of Production Economics, Elsevier, vol. 131(2), pages 483-489, June.
    9. Chen, Wenyi & Kucukyazici, Beste & Verter, Vedat & Jesús Sáenz, María, 2015. "Supply chain design for unlocking the value of remanufacturing under uncertainty," European Journal of Operational Research, Elsevier, vol. 247(3), pages 804-819.
    10. Felix T.S. Chan & Nan Li & S.H. Chung & Mozafar Saadat, 2017. "Management of sustainable manufacturing systems-a review on mathematical problems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 1210-1225, February.
    11. García-Alvarado, M.S. & Paquet, M. & Chaabane, A., 2015. "On inventory control of product recovery systems subject to environmental mechanisms," International Journal of Production Economics, Elsevier, vol. 165(C), pages 132-144.

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