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Contracts and coordination: Supply chains with uncertain demand and supply

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  • Yong He
  • Xuan Zhao

Abstract

Considering a supply chain with a supplier subject to yield uncertainty selling to a retailer facing stochastic demand, we find that commonly studied classical coordination contracts fail to coordinate both the supplier's production and the retailer's procurement decisions and achieve efficient performance. First, we study the vendor managed inventory (VMI) partnership. We find that a consignment VMI partnership coupled with a production cost subsidy achieves perfect coordination and a win‐win outcome; it is simple to implement and arbitrarily allocates total channel profit. The production cost subsidy optimally chosen through Nash bargaining analysis depends on the bargaining power of the supplier and the retailer. Further, motivated by the practice that sometimes the retailer and the supplier can arrange a “late order,” we also analyze the behavior of an advance‐purchase discount (APD) contract. We find that an APD with a revenue sharing contract can efficiently coordinate the supply chain as well as achieve flexible profit allocation. Finally, we explore which coordination contract works better for the supplier vs. the retailer. It is interesting to observe that Nash bargaining solutions for the two coordination contracts are equivalent. We further provide recommendations on the applications of these contracts. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 305–319, 2016

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  • Yong He & Xuan Zhao, 2016. "Contracts and coordination: Supply chains with uncertain demand and supply," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(4), pages 305-319, June.
  • Handle: RePEc:wly:navres:v:63:y:2016:i:4:p:305-319
    DOI: 10.1002/nav.21695
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    3. Mateja Cucek & Sonja Mlaker Kac, 2023. "Projected And Expected Competences In Logistics And Supply Chain In Slovenia," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 23, pages 79-91.
    4. Hong, Xianpei & He, Yimeng & Zhou, Pin & Chen, Jiguang, 2023. "Demand information sharing in a contract farming supply chain," European Journal of Operational Research, Elsevier, vol. 309(2), pages 560-577.
    5. Lu Hsiao & Ying‐Ju Chen & Hui Xiong, 2019. "Supply chain coordination with product line design and a revenue sharing scheme," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(3), pages 213-229, April.
    6. Kimitoshi Sato & Kyoko Yagi & Masahito Shimazaki, 2018. "A Stochastic Inventory Model for a Random Yield Supply Chain with Wholesale-Price and Shortage Penalty Contracts," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(06), pages 1-30, December.
    7. Dawoon Jung & Bosung Kim & Seung Ho Yoo, 2023. "How to facilitate supplier-supplier collaboration: The impact of a manufacturer’s order allocation policy and subsidy offering," Annals of Operations Research, Springer, vol. 323(1), pages 79-107, April.
    8. Ding, Wen & Wan, Guohua, 2020. "Financing and coordinating the supply chain with a capital-constrained supplier under yield uncertainty," International Journal of Production Economics, Elsevier, vol. 230(C).
    9. Khosroshahi, Hossein & Dimitrov, Stanko & Hejazi, Seyed Reza, 2021. "Pricing, greening, and transparency decisions considering the impact of government subsidies and CSR behavior in supply chain decisions," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    10. Tian, Xiaoge & Chen, Weiming & Hu, Jinglu, 2023. "Game-theoretic modeling of power supply chain coordination under demand variation in China: A case study of Guangdong Province," Energy, Elsevier, vol. 262(PA).
    11. Sarkar, P. & Wahab, M.I.M. & Fang, L., 2024. "Weather rebate sharing contract for enhancing supply chain performance," International Journal of Production Economics, Elsevier, vol. 272(C).
    12. Xu, Xiaoping & Zhang, Mian & He, Ping, 2020. "Coordination of a supply chain with online platform considering delivery time decision," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).

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