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Periodic Review, Push Inventory Policies for Remanufacturing

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  • Mahadevan, B.
  • Pyke, D.F.
  • Fleischmann, M.

Abstract

Sustainability has become a major issue in most economies, causing many leading companies to focus on product recovery and reverse logistics. This research is focused on product recovery, and in particular on production control and inventory management in the remanufacturing context. We study a remanufacturing facility that receives a stream of returned products according to a Poisson process. Demand is uncertain and also follows a Poisson process. The decision problems for the remanufacturing facility are when to release returned products to the remanufacturing line and how many new products to manufacture. We assume that remanufactured products are as good as new. In this paper, we employ a "push" policy that combines these two decisions. It is well known that the optimal policy parameters are difficult to find analytically; therefore, we develop several heuristics based on traditional inventory models. We also investigate the performance of the system as a function of return rates, backorder costs and manufacturing and remanufacturing lead times; and we develop approximate lower and upper bounds on the optimal solution. We illustrate and explain some counter-intuitive results and we test the performance of the heuristics on a set of sample problems. We find that the average error of the heuristics is quite low.

Suggested Citation

  • Mahadevan, B. & Pyke, D.F. & Fleischmann, M., 2002. "Periodic Review, Push Inventory Policies for Remanufacturing," ERIM Report Series Research in Management ERS-2002-35-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  • Handle: RePEc:ems:eureri:188
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    References listed on IDEAS

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    1. McGee, Victor E. & Pyke, David F., 1996. "Periodic production scheduling at a fastener manufacturer," International Journal of Production Economics, Elsevier, vol. 46(1), pages 65-87, December.
    2. 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.
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    4. van der Laan, Erwin & Dekker, Rommert & Salomon, Marc, 1996. "Product remanufacturing and disposal: A numerical comparison of alternative control strategies," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 489-498, August.
    5. Teunter, Ruud H. & Vlachos, Dimitrios, 2002. "On the necessity of a disposal option for returned items that can be remanufactured," International Journal of Production Economics, Elsevier, vol. 75(3), pages 257-266, February.
    6. 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.
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    Cited by:

    1. Kayakutlu, Gulgun & Buyukozkan, Gulcin, 2011. "Assessing performance factors for a 3PL in a value chain," International Journal of Production Economics, Elsevier, vol. 131(2), pages 441-452, June.
    2. Li, Jianzhi & González, Miguel & Zhu, Yun, 2009. "A hybrid simulation optimization method for production planning of dedicated remanufacturing," International Journal of Production Economics, Elsevier, vol. 117(2), pages 286-301, February.
    3. 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.
    4. Gou, Qinglong & Liang, Liang & Huang, Zhimin & Xu, Chuanyong, 2008. "A joint inventory model for an open-loop reverse supply chain," International Journal of Production Economics, Elsevier, vol. 116(1), pages 28-42, November.
    5. van der Laan, Erwin A. & Teunter, Ruud H., 2006. "Simple heuristics for push and pull remanufacturing policies," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1084-1102, December.
    6. Zolfagharinia, Hossein & Hafezi, Maryam & Farahani, Reza Zanjirani & Fahimnia, Behnam, 2014. "A hybrid two-stock inventory control model for a reverse supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 141-161.
    7. Moritz Fleischmann & Jo A. E. E. van Nunen & Ben Gräve, 2003. "Integrating Closed-Loop Supply Chains and Spare-Parts Management at IBM," Interfaces, INFORMS, vol. 33(6), pages 44-56, December.
    8. repec:eee:ejores:v:267:y:2018:i:3:p:1102-1109 is not listed on IDEAS
    9. Pan, Kewen & Lai, K.K. & Liang, L. & Leung, Stephen C.H., 2009. "Two-period pricing and ordering policy for the dominant retailer in a two-echelon supply chain with demand uncertainty," Omega, Elsevier, vol. 37(4), pages 919-929, August.
    10. Ahiska, S. Sebnem & King, Russell E., 2010. "Life cycle inventory policy characterizations for a single-product recoverable system," International Journal of Production Economics, Elsevier, vol. 124(1), pages 51-61, March.
    11. 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.
    12. Gregory A. DeCroix & Jing-Sheng Song & Paul H. Zipkin, 2009. "Managing an Assemble-to-Order System with Returns," Manufacturing & Service Operations Management, INFORMS, vol. 11(1), pages 144-159, October.
    13. Nenes, George & Panagiotidou, Sofia & Dekker, Rommert, 2010. "Inventory control policies for inspection and remanufacturing of returns: A case study," International Journal of Production Economics, Elsevier, vol. 125(2), pages 300-312, June.
    14. Takahashi, Katsuhiko & Morikawa, Katsumi & Myreshka & Takeda, Daisuke & Mizuno, Akihiko, 2007. "Inventory control for a MARKOVIAN remanufacturing system with stochastic decomposition process," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 416-425, July.
    15. Gharbi, A. & Pellerin, R. & Sadr, J., 2008. "Production rate control for stochastic remanufacturing systems," International Journal of Production Economics, Elsevier, vol. 112(1), pages 37-47, March.
    16. 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.
    17. Corbacıoğlu, U. & van der Laan, E.A., 2005. "Setting the holding cost rates in a multi-product system with remanufacturing," ERIM Report Series Research in Management ERS-2005-072-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    18. Mitra, Subrata, 2007. "Revenue management for remanufactured products," Omega, Elsevier, vol. 35(5), pages 553-562, October.
    19. Corbacioglu, Umut & van der Laan, Erwin A., 2007. "Setting the holding cost rates in a two-product system with remanufacturing," International Journal of Production Economics, Elsevier, vol. 109(1-2), pages 185-194, September.
    20. Pellerin, Robert & Sadr, Javad & Gharbi, Ali & Malhamé, Roland, 2009. "A production rate control policy for stochastic repair and remanufacturing systems," International Journal of Production Economics, Elsevier, vol. 121(1), pages 39-48, September.
    21. Dev, Navin K. & Shankar, Ravi & Choudhary, Alok, 2017. "Strategic design for inventory and production planning in closed-loop hybrid systems," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 345-353.

    More about this item

    Keywords

    environment; heuristics; inventory; remanufacturing; reverse logistics;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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