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A Multiechelon Inventory Problem with Secondary Market Sales

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  • Alexandar Angelus

    (Singapore Management University, Singapore 178899, Singapore)

Abstract

We consider a finite-horizon, multiechelon inventory system in which the surplus of stock can be sold (i.e., disposed) in the secondary markets at each stage in the system. What are called nested echelon order-up-to policies are shown to be optimal for jointly managing inventory replenishments and secondary market sales. Under a general restriction on model parameters, we establish that it is optimal not to both sell off excess stock and replenish inventory. Secondary market sales complicate the structure of the system, so that the classical Clark and Scarf echelon reformulation no longer allows for the decomposition of the objective function under the optimal policy. We introduce a novel class of policies, referred to as the disposal saturation policies , and show that there exists a disposal saturation policy, determined recursively by a single base-stock level at each echelon, that achieves the decomposition of this problem. The resulting optimal replenishment policy is shown to be the echelon base-stock policy. We demonstrate the heuristic performance of this disposal saturation policy through a series of numerical studies: except at extreme ranges of model parameters, the policy provides a very good approximation to the optimal policy while avoiding the curse of dimensionality. We also conduct numerical studies to determine the value of the secondary markets for multistage supply chains and assess its sensitivity to model parameters. The results provide potentially useful insights for companies seeking to enter or develop secondary markets for supply chains. This paper was accepted by Martin Lariviere, operations management.

Suggested Citation

  • Alexandar Angelus, 2011. "A Multiechelon Inventory Problem with Secondary Market Sales," Management Science, INFORMS, vol. 57(12), pages 2145-2162, December.
  • Handle: RePEc:inm:ormnsc:v:57:y:2011:i:12:p:2145-2162
    DOI: 10.1287/mnsc.1110.1419
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    References listed on IDEAS

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    Cited by:

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    2. Gayon, Jean-Philippe & Vercraene, Samuel & Flapper, Simme Douwe P., 2017. "Optimal control of a production-inventory system with product returns and two disposal options," European Journal of Operational Research, Elsevier, vol. 262(2), pages 499-508.
    3. Hao Guo & Congdong Li & Ying Zhang & Chunnan Zhang & Mengmeng Lu, 2018. "A Location-Inventory Problem in a Closed-Loop Supply Chain with Secondary Market Consideration," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
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    5. Feng, Lipan & Zheng, Xiong & Govindan, Kannan & Xue, Kelei, 2019. "Does the presence of secondary market platform really hurt the firm?," International Journal of Production Economics, Elsevier, vol. 213(C), pages 55-68.
    6. Hua, Guowei & Zhang, Yi & Cheng, T.C.E. & Wang, Shouyang & Zhang, Juliang, 2020. "The newsvendor problem with barter exchange," Omega, Elsevier, vol. 92(C).
    7. Hao Guo & Ying Zhang & Chunnan Zhang & Yu Liu & Yuan Zhou, 2020. "Location-inventory decisions for closed-loop supply chain management in the presence of the secondary market," Annals of Operations Research, Springer, vol. 291(1), pages 361-386, August.
    8. Qing Li & Peiwen Yu, 2014. "Multimodularity and Its Applications in Three Stochastic Dynamic Inventory Problems," Manufacturing & Service Operations Management, INFORMS, vol. 16(3), pages 455-463, July.
    9. Li, Yongjian & Feng, Lipan & Govindan, Kannan & Xu, Fangchao, 2019. "Effects of a secondary market on original equipment manufactures’ pricing, trade-in remanufacturing, and entry decisions," European Journal of Operational Research, Elsevier, vol. 279(3), pages 751-766.
    10. Ye, Taofeng & Sun, Hao, 2016. "Price-setting newsvendor with strategic consumers," Omega, Elsevier, vol. 63(C), pages 103-110.
    11. Li Chen & Jing-Sheng Song & Yue Zhang, 2017. "Serial Inventory Systems with Markov-Modulated Demand: Derivative Bounds, Asymptotic Analysis, and Insights," Operations Research, INFORMS, vol. 65(5), pages 1231-1249, October.
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    14. Alexandar Angelus & Özalp Özer, 2016. "Knowledge You Can Act on: Optimal Policies for Assembly Systems with Expediting and Advance Demand Information," Operations Research, INFORMS, vol. 64(6), pages 1338-1371, December.

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