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Optimal Control of Inventory Systems with Multiple Types of Remanufacturable Products

Author

Listed:
  • Sean X. Zhou

    () (Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong)

  • Zhijie Tao

    () (Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong)

  • Xiuli Chao

    () (Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109)

Abstract

Product returns have become a significant feature of many manufacturing systems. Because products are returned under different operational conditions, they usually require different remanufacturing effort/costs. Motivated by a project with a major energy company that manages its inventory through options of ordering and remanufacturing returned products (cores) in various condition, in this paper, we study a single-product, periodic-review inventory system with multiple types of cores. The serviceable products used to fulfill stochastic customer demand can be either manufactured from new parts or remanufactured from the cores, and the objective is to minimize the expected total discounted cost over a finite planning horizon. We show that the optimal manufacturing-remanufacturing-disposal policy has a simple structure and can be completely characterized by a sequence of constant control parameters when manufacturing and remanufacturing leadtimes are the same. To demonstrate the value of the optimal policy, we conduct a numerical study that compares its performance with two simple heuristics, namely, pull policy without and with sorting. The results show that the reduction in system cost by using the optimal policy can be significant. When manufacturing and remanufacturing leadtimes are different, we develop a heuristic method for computing the near-optimal control policy that performs quite well as demonstrated numerically.

Suggested Citation

  • Sean X. Zhou & Zhijie Tao & Xiuli Chao, 2011. "Optimal Control of Inventory Systems with Multiple Types of Remanufacturable Products," Manufacturing & Service Operations Management, INFORMS, vol. 13(1), pages 20-34, March.
  • Handle: RePEc:inm:ormsom:v:13:y:2011:i:1:p:20-34
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    File URL: http://dx.doi.org/10.1287/msom.1100.0298
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    References listed on IDEAS

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    1. L. Beril Toktay & Lawrence M. Wein & Stefanos A. Zenios, 2000. "Inventory Management of Remanufacturable Products," Management Science, INFORMS, vol. 46(11), pages 1412-1426, November.
    2. Gregory A. DeCroix & Paul H. Zipkin, 2005. "Inventory Management for an Assembly System with Product or Component Returns," Management Science, INFORMS, vol. 51(8), pages 1250-1265, August.
    3. Yoichiro Fukuda, 1964. "Optimal Policies for the Inventory Problem with Negotiable Leadtime," Management Science, INFORMS, vol. 10(4), pages 690-708, July.
    4. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    5. Kiesmuller, Gudrun P. & Scherer, Carsten W., 2003. "Computational issues in a stochastic finite horizon one product recovery inventory model," European Journal of Operational Research, Elsevier, vol. 146(3), pages 553-579, May.
    6. Ravi Anupindi & Ram Akella, 1993. "Diversification Under Supply Uncertainty," Management Science, INFORMS, vol. 39(8), pages 944-963, August.
    7. 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.
    8. V. Daniel R. Guide, Jr. & Ruud H. Teunter & Luk N. Van Wassenhove, 2003. "Matching Demand and Supply to Maximize Profits from Remanufacturing," Manufacturing & Service Operations Management, INFORMS, vol. 5(4), pages 303-316, October.
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    Citations

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    Cited by:

    1. repec:spr:annopr:v:253:y:2017:i:1:d:10.1007_s10479-016-2334-x is not listed on IDEAS
    2. Choi, Tsan-Ming & Li, Yongjian & Xu, Lei, 2013. "Channel leadership, performance and coordination in closed loop supply chains," International Journal of Production Economics, Elsevier, vol. 146(1), pages 371-380.
    3. Flapper, Simme Douwe & Gayon, Jean-Philippe & Lim, Lâm Laurent, 2014. "On the optimal control of manufacturing and remanufacturing activities with a single shared server," European Journal of Operational Research, Elsevier, vol. 234(1), pages 86-98.
    4. Kim, Eungab & Saghafian, Soroush & Van Oyen, Mark P., 2013. "Joint control of production, remanufacturing, and disposal activities in a hybrid manufacturing–remanufacturing system," European Journal of Operational Research, Elsevier, vol. 231(2), pages 337-348.
    5. Cai, Xiaoqiang & Lai, Minghui & Li, Xiang & Li, Yongjian & Wu, Xianyi, 2014. "Optimal acquisition and production policy in a hybrid manufacturing/remanufacturing system with core acquisition at different quality levels," European Journal of Operational Research, Elsevier, vol. 233(2), pages 374-382.
    6. Xiong, Yu & Li, Gendao & Zhou, Yu & Fernandes, Kiran & Harrison, Richard & Xiong, Zhongkai, 2014. "Dynamic pricing models for used products in remanufacturing with lost-sales and uncertain quality," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 678-688.
    7. Tang, Christopher S. & Zhou, Sean, 2012. "Research advances in environmentally and socially sustainable operations," European Journal of Operational Research, Elsevier, vol. 223(3), pages 585-594.

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