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Optimal Procurement Mechanisms for Assembly

Author

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  • Bin Hu

    (Naveen Jindal School of Management, The University of Texas at Dallas, Richardson, Texas 75080)

  • Anyan Qi

    (Naveen Jindal School of Management, The University of Texas at Dallas, Richardson, Texas 75080)

Abstract

This paper investigates mechanisms by which a powerful original equipment manufacturers procures multiple inputs for assembly from suppliers with privately informed costs, either simultaneously or sequentially. The optimal mechanisms always lead to matching purchase quantities of the inputs. Thus, quantity–payment contracts that implement the optimal mechanisms are contingent across suppliers (i.e., each supplier’s contract terms contain other suppliers’ private costs as variables), making the implementation impractical. To address this issue, we propose alternative implementations of the optimal mechanisms by menus of two-part tariff contracts that are noncontingent. In addition, optimal simultaneous and sequential procurement mechanisms for assembly are shown to be revenue-equivalent for all parties despite their different asymmetric information structures. Our findings suggest that procurement managers need not strategize contracting sequences for assembly, but should rather focus on achieving the best pricing with each supplier and coordinating purchase quantities.

Suggested Citation

  • Bin Hu & Anyan Qi, 2018. "Optimal Procurement Mechanisms for Assembly," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 655-666, October.
  • Handle: RePEc:inm:ormsom:v:20:y:2018:i:4:p:655-666
    DOI: 10.1287/msom.2017.0672
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    References listed on IDEAS

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    5. Li, Zhaolin & Qian, Cheng & Ryan, Jennifer K. & Sun, Daewon, 2022. "Robust mechanism design and production structure for assembly systems with asymmetric cost information," European Journal of Operational Research, Elsevier, vol. 301(2), pages 609-623.
    6. Ming Zhang & Jianjun Zhu & Ponnambalam Kumaraswamy & Hehua Wang, 2019. "Evolutionary Game Analysis of the Effects of Problem Size and the Problem Proposing Mechanism on the Problem Processing Mechanism in a New Main Manufacturer–Supplier Collaborative System," Mathematics, MDPI, vol. 7(7), pages 1-19, July.
    7. Lusheng Shao & Xiaole Wu & Fuqiang Zhang, 2020. "Sourcing Competition under Cost Uncertainty and Information Asymmetry," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 447-461, February.
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