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Efficient Multi‐Attribute Multi‐Unit Auctions for B2B E‐Commerce Logistics

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  • Su Xiu Xu
  • George Q. Huang

Abstract

This study is the first proposing allocatively efficient multi‐attribute auctions for the procurement of multiple items. In the B2B e‐commerce logistics problem (ELP), the e‐commerce platform is the shipper generating a large number of online orders between product sellers and buyers, and third‐party logistics (3PL) providers are carriers that can deliver these online orders. This study focuses on the ELP with multiple attributes (ELP‐MA), which is generally the problem of matching the shipper's online orders and 3PL providers given that price and other attributes are jointly evaluated. We develop a one‐sided Vickrey–Clarke–Groves (O‐VCG) auction for the ELP‐MA. The O‐VCG auction leads to incentive compatibility (on the sell side), allocative efficiency, budget balance, and individual rationality. We next introduce the concept of universally unsatisfied set to construct a primal‐dual algorithm, also called the primal‐dual Vickrey (PDV) auction. We prove that the O‐VCG auction can be viewed as a single‐attribute multi‐unit forward Vickrey (SA‐MFV) auction. Both PDV and SA‐MFV auctions realize VCG payments and truthful bidding for general valuations. This result reveals the underlying link not only between single‐attribute and multi‐attribute auctions, but between static and dynamic auctions in a multi‐attribute setting.

Suggested Citation

  • Su Xiu Xu & George Q. Huang, 2017. "Efficient Multi‐Attribute Multi‐Unit Auctions for B2B E‐Commerce Logistics," Production and Operations Management, Production and Operations Management Society, vol. 26(2), pages 292-304, February.
    • Handle: RePEc:bla:popmgt:v:26:y:2017:i:2:p:292-304
    DOI: 10.1111/poms.12638
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    Cited by:

    1. Lafkihi, Mariam & Pan, Shenle & Ballot, Eric, 2019. "Freight transportation service procurement: A literature review and future research opportunities in omnichannel E-commerce," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 348-365.
    2. Wang, Lisha & Chen, Jing & Lu, Yali, 2022. "Manufacturer's channel and logistics strategy in a supply chain," International Journal of Production Economics, Elsevier, vol. 246(C).
    3. Xianghua Chu & Su Xiu Xu & Fulin Cai & Jiansheng Chen & Quande Qin, 2019. "An efficient auction mechanism for regional logistics synchronization," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2715-2731, October.
    4. Zhang, Meng & Kong, Zhaojun, 2022. "A multi-attribute double auction and bargaining model for emergency material procurement," International Journal of Production Economics, Elsevier, vol. 254(C).
    5. Guo, Jiantao & Zhang, Juliang & Cheng, T.C.E. & Zhao, Shouting, 2022. "Truthful double auction mechanisms for online freight platforms with transaction costs," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 164-186.
    6. Choi, Tsan-Ming, 2018. "Launching the right new product among multiple product candidates in fashion: Optimal choice and coordination with risk consideration," International Journal of Production Economics, Elsevier, vol. 202(C), pages 162-171.
    7. Jie Xiang & Juliang Zhang & T. C. E. Cheng & Jose Maria Sallan & Guowei Hua, 2019. "Efficient Multi-Attribute Auctions Considering Supply Disruption," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(03), pages 1-28, June.
    8. Wang, Junjin & Liu, Jiaguo & Zhang, Xin, 2020. "Service purchasing and market-entry problems in a shipping supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    9. Qin, Xuelian & Liu, Zhixue & Tian, Lin, 2021. "The optimal combination between selling mode and logistics service strategy in an e-commerce market," European Journal of Operational Research, Elsevier, vol. 289(2), pages 639-651.
    10. Qin, Xuelian & Liu, Zhixue & Tian, Lin, 2020. "The strategic analysis of logistics service sharing in an e-commerce platform," Omega, Elsevier, vol. 92(C).
    11. Xiao, Fei & Wang, Haijun & Guo, Shuojia & Guan, Xu & Liu, Baoshan, 2021. "Efficient and truthful multi-attribute auctions for crowdsourced delivery," International Journal of Production Economics, Elsevier, vol. 240(C).
    12. Zhang, Li-Hao & Liu, Chunxiao & Zhang, Cheng & Wang, Shanshan, 2023. "Upstream encroachment and downstream outsourcing in competing shipping supply chains," International Journal of Production Economics, Elsevier, vol. 255(C).
    13. Zhang, Juliang & Xiang, Jie & Cheng, T.C. Edwin & Hua, Guowei & Chen, Cheng, 2019. "An optimal efficient multi-attribute auction for transportation procurement with carriers having multi-unit supplies," Omega, Elsevier, vol. 83(C), pages 249-260.
    14. Mashalah, Heider Al & Hassini, Elkafi & Gunasekaran, Angappa & Bhatt (Mishra), Deepa, 2022. "The impact of digital transformation on supply chains through e-commerce: Literature review and a conceptual framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    15. Lin, Yong & Chen, Anlan & Yin, Yanhai & Li, Qing & Zhu, Qiaoni & Luo, Jing, 2021. "A framework for sustainable management of the platform service supply chain: An empirical study of the logistics sector in China," International Journal of Production Economics, Elsevier, vol. 235(C).
    16. Eirinakis, Pavlos & Mourtos, Ioannis & Zampou, Eleni, 2022. "Random Serial Dictatorship for horizontal collaboration in logistics," Omega, Elsevier, vol. 111(C).
    17. Yu, Hao & Huang, Min & Chao, Xiuli & Yue, Xiaohang, 2022. "Truthful multi-attribute multi-unit double auctions for B2B e-commerce logistics service transactions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).

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