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A stochastic programming winner determination model for truckload procurement under shipment uncertainty

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  • Ma, Zhong
  • Kwon, Roy H.
  • Lee, Chi-Guhn
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    Abstract

    We propose a two-stage stochastic integer programming model for the winner determination problem (WDP) in combinatorial auctions to hedge the shipper's risk under shipment uncertainty. The shipper allows bids on combinations of lanes and solves the WDP to determine which carriers are to be awarded lanes. In addition, many other important comprehensive business side constraints are included in the model. We demonstrate the value of the stochastic solution over one obtained by a deterministic model based on using average shipment volumes. Computational results are given that indicate that moderately sized realistic instances can be solved by commercial branch and bound solvers in reasonable time.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part E: Logistics and Transportation Review.

    Volume (Year): 46 (2010)
    Issue (Month): 1 (January)
    Pages: 49-60

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    Handle: RePEc:eee:transe:v:46:y:2010:i:1:p:49-60

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    Related research

    Keywords: Truckload procurement Combinatorial auctions Stochastic programming Shipment uncertainty;

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    Cited by:
    1. Bo Zhang & Hongwei Ding & Hongbo Li & Wei Wang & Tao Yao, 2014. "A Sampling-Based Stochastic Winner Determination Model for Truckload Service Procurement," Networks and Spatial Economics, Springer, vol. 14(2), pages 159-181, June.
    2. Xu, Su Xiu & Huang, George Q., 2013. "Transportation service procurement in periodic sealed double auctions with stochastic demand and supply," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 136-160.
    3. Mesa-Arango, Rodrigo & Ukkusuri, Satish V., 2013. "Benefits of in-vehicle consolidation in less than truckload freight transportation operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 113-125.

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