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Contracting with an urgent supplier under cost information asymmetry

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  • Xu, He
  • Shi, Ning
  • Ma, Shi-hua
  • Lai, Kin Keung

Abstract

We investigate a contract setting problem faced by a manufacturer who can procure major modules from an overseas supplier, as well as a local supplier. The overseas supplier is prime and offers quality products, whereas the local supplier is viewed only as a backup, and its products are inferior in quality. As the local supplier needs to put in additional effort to fulfill the urgent orders, it is difficult for the manufacturer to estimate this urgent supplier's production cost. This asymmetric cost information becomes an obstacle for the manufacturer in managing the urgent supplier. In this paper, we study two types of contingent contracts. One is the common price-only contract, and the other is a contract menu consisting of a transfer payment and a lead time quotation. We construct a Stackelberg game model and evaluate how the involvement of an urgent supplier with private cost information affects performances of the prime supplier and the manufacturer in different scenarios (with or without the urgent supplier, under different contingent contracts). We also conduct numerical experiments to show how the parameters of the contracts affect profits of the manufacturer.

Suggested Citation

  • Xu, He & Shi, Ning & Ma, Shi-hua & Lai, Kin Keung, 2010. "Contracting with an urgent supplier under cost information asymmetry," European Journal of Operational Research, Elsevier, vol. 206(2), pages 374-383, October.
  • Handle: RePEc:eee:ejores:v:206:y:2010:i:2:p:374-383
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    8. Li, Yina & Xu, Xuejun & Zhao, Xiande & Yeung, Jeff Hoi Yan & Ye, Fei, 2012. "Supply chain coordination with controllable lead time and asymmetric information," European Journal of Operational Research, Elsevier, vol. 217(1), pages 108-119.
    9. Yan, Bo & Wang, Tao & Liu, Yan-ping & Liu, Yang, 2016. "Decision analysis of retailer-dominated dual-channel supply chain considering cost misreporting," International Journal of Production Economics, Elsevier, vol. 178(C), pages 34-41.
    10. Zeng, Amy Z. & Xia, Yu, 2015. "Building a mutually beneficial partnership to ensure backup supply," Omega, Elsevier, vol. 52(C), pages 77-91.
    11. Babich, Volodymyr & Li, Hantao & Ritchken, Peter & Wang, Yunzeng, 2012. "Contracting with asymmetric demand information in supply chains," European Journal of Operational Research, Elsevier, vol. 217(2), pages 333-341.
    12. Egri, Péter & Kis, Tamás & Kovács, András & Váncza, József, 2014. "An inverse economic lot-sizing approach to eliciting supplier cost parameters," International Journal of Production Economics, Elsevier, vol. 149(C), pages 80-88.
    13. Kebing Chen & Renxing Xu & Hanwei Fang, 2016. "Information Disclosure Model Under Supply Chain Competition with Asymmetric Demand Disruption," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(06), pages 1-35, December.
    14. Huang, Song & Guan, Xu & Xiao, Binqing, 2018. "Incentive provision for demand information acquisition in a dual-channel supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 42-58.
    15. Xu, He & Yao, Nian & Tong, Shilu, 2013. "Sourcing under cost information asymmetry when facing time-sensitive customers," International Journal of Production Economics, Elsevier, vol. 144(2), pages 599-609.
    16. Zhao, Senlin & You, Zhuangzhuang & Zhu, Qinghua, 2022. "Effects of asymmetric cost information on collection outsourcing of used products for remanufacturing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    17. Biswas, Indranil & Avittathur, Balram & Chatterjee, Ashis K, 2016. "Impact of structure, market share and information asymmetry on supply contracts for a single supplier multiple buyer network," European Journal of Operational Research, Elsevier, vol. 253(3), pages 593-601.
    18. Yixin Zhang & Xifu Wang, 2019. "Procurement Strategy with Backup Sourcing under Stochastic Supply Risk," Complexity, Hindawi, vol. 2019, pages 1-15, March.

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