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Innovative menu of contracts for coordinating a supply chain with multiple mean-variance retailers

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  • Chiu, Chun-Hung
  • Choi, Tsan-Ming
  • Hao, Gang
  • Li, Xun

Abstract

We consider the coordination challenge with a risk-neutral manufacturer which supplies to multiple heterogeneou retailers. We find that the manufacturer can maximize its expected profit only if the expected profit of the supply chain is maximized, or equivalently supply chain coordination (SCC) is achieved. The target sales rebate (TSR) contract is commonly used in practice to achieve SCC. However, as we found in this paper, the presence of heterogeneity in retailers’ minimum expected profit requirements is the major cause that a single TSR contract and the related single hybrid contracts all fail to achieve SCC and maximize the manufacturer’s expected profit simultaneously. Thus, we develop an innovative menu of TSR contracts with fixed order quantity (TSR-FOQ) . Although there are multiple contracts in a menu, we find that the manufacturer only needs to decide one basic TSR contract and two newly developed parameters termed as the risk-level indicator and the separation indicator, in applying the sophisticated menu of TSR-FOQ. By adjusting the two indicators, the manufacturer can control the profit variance of the retailers and the separations of the component contracts of the menu. We further propose another sophisticated menu of TSR with minimum order quantity and quantity discount contracts which can give each retailer a higher degree of freedom in the selection of order quantity. Differences between the two menus are analytically examined. Some meaningful managerial insights are generated.

Suggested Citation

  • Chiu, Chun-Hung & Choi, Tsan-Ming & Hao, Gang & Li, Xun, 2015. "Innovative menu of contracts for coordinating a supply chain with multiple mean-variance retailers," European Journal of Operational Research, Elsevier, vol. 246(3), pages 815-826.
  • Handle: RePEc:eee:ejores:v:246:y:2015:i:3:p:815-826
    DOI: 10.1016/j.ejor.2015.05.035
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    References listed on IDEAS

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    Cited by:

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    6. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
    7. Li, Bo & An, Si-min & Song, Dong-ping, 2018. "Selection of financing strategies with a risk-averse supplier in a capital-constrained supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 163-183.
    8. Liu, Weihua & Long, Shangsong & Xie, Dong & Liang, Yanjie & Wang, Jinkun, 2021. "How to govern the big data discriminatory pricing behavior in the platform service supply chain?An examination with a three-party evolutionary game model," International Journal of Production Economics, Elsevier, vol. 231(C).
    9. Jianteng Xu & Qingguo Bai & Qian Luo, 2023. "Energy conservation strategy and coordination of a closed-loop supply chain with risk-averse members under carbon tax regulation," Operational Research, Springer, vol. 23(3), pages 1-39, September.
    10. Cui, Qinquan & Chiu, Chun-Hung & Dai, Xin & Li, Zhongfei, 2016. "Store brand introduction in a two-echelon logistics system with a risk-averse retailer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 69-89.

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