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Coordination Mechanisms in Decentralized Serial Inventory Systems with Batch Ordering

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  • Kevin H. Shang

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

  • Jing-Sheng Song

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708; and Antai College of Economics & Management, Shanghai Jiao Tong University, 200052 Shanghai, China)

  • Paul H. Zipkin

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

Abstract

This paper studies a periodic-review, serial supply chain in which materials are ordered and shipped according to (R,nQ) policies. Three information scenarios are considered, depending on the level of information available: echelon, local, and quasilocal. In the echelon scenario, each stage can access the inventory and cost information within its echelon (comprising the stage itself and all downstream stages); in the local scenario, each stage only accesses its own local information. Finally, in the quasilocal scenario, each stage knows its local information, plus the actual customer demands. We propose coordination schemes that regulate the stages to achieve the supply chain's optimal cost under each information setting. All these coordination schemes fit comfortably within an emerging practice called supply chain finance, which includes the organization and technology needed to implement them.

Suggested Citation

  • Kevin H. Shang & Jing-Sheng Song & Paul H. Zipkin, 2009. "Coordination Mechanisms in Decentralized Serial Inventory Systems with Batch Ordering," Management Science, INFORMS, vol. 55(4), pages 685-695, April.
  • Handle: RePEc:inm:ormnsc:v:55:y:2009:i:4:p:685-695
    DOI: 10.1287/mnsc.1080.0981
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    References listed on IDEAS

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    Cited by:

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    2. Tseng, Ming-Lang & Wu, Kuo-Jui & Hu, Jiayao & Wang, Chin-Hsin, 2018. "Decision-making model for sustainable supply chain finance under uncertainties," International Journal of Production Economics, Elsevier, vol. 205(C), pages 30-36.
    3. Albrecht, Martin & Stadtler, Hartmut, 2015. "Coordinating decentralized linear programs by exchange of primal information," European Journal of Operational Research, Elsevier, vol. 247(3), pages 788-796.
    4. Xu, Xinhan & Chen, Xiangfeng & Jia, Fu & Brown, Steve & Gong, Yu & Xu, Yifan, 2018. "Supply chain finance: A systematic literature review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 204(C), pages 160-173.
    5. Wei Luo & Kevin Shang, 2015. "Joint Inventory and Cash Management for Multidivisional Supply Chains," Operations Research, INFORMS, vol. 63(5), pages 1098-1116, October.
    6. Kevin H. Shang & Sean X. Zhou & Geert-Jan van Houtum, 2010. "Improving Supply Chain Performance: Real-Time Demand Information and Flexible Deliveries," Manufacturing & Service Operations Management, INFORMS, vol. 12(3), pages 430-448, May.
    7. Wuttke, David A. & Blome, Constantin & Henke, Michael, 2013. "Focusing the financial flow of supply chains: An empirical investigation of financial supply chain management," International Journal of Production Economics, Elsevier, vol. 145(2), pages 773-789.
    8. Wuttke, David A. & Blome, Constantin & Sebastian Heese, H. & Protopappa-Sieke, Margarita, 2016. "Supply chain finance: Optimal introduction and adoption decisions," International Journal of Production Economics, Elsevier, vol. 178(C), pages 72-81.
    9. Zericho R Marak & Deepa Pillai, 2018. "Factors, Outcome, and the Solutions of Supply Chain Finance: Review and the Future Directions," JRFM, MDPI, vol. 12(1), pages 1-23, December.
    10. Cai, Xiaoqiang & Chen, Jian & Xiao, Yongbo & Xu, Xiaolin & Yu, Gang, 2013. "Fresh-product supply chain management with logistics outsourcing," Omega, Elsevier, vol. 41(4), pages 752-765.
    11. Sim, Jaehun & Prabhu, Vittaldas, 2017. "A microcredit contract model with a Black Scholes model under default risk," International Journal of Production Economics, Elsevier, vol. 193(C), pages 294-305.
    12. Kevin H. Shang, 2012. "Single-Stage Approximations for Optimal Policies in Serial Inventory Systems with Nonstationary Demand," Manufacturing & Service Operations Management, INFORMS, vol. 14(3), pages 414-422, July.
    13. Ming Hu & Yi Yang, 2014. "Modified Echelon ( r, Q ) Policies with Guaranteed Performance Bounds for Stochastic Serial Inventory Systems," Operations Research, INFORMS, vol. 62(4), pages 812-828, August.

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