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Bid price optimization for truckload carriers in simultaneous transportation procurement auctions

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  • Kuyzu, Gültekin
  • Akyol, Çağla Gül
  • Ergun, Özlem
  • Savelsbergh, Martin

Abstract

We study simultaneous transportation procurement auctions from a truckload carrier’s perspective. We formulate a stochastic bid price optimization model aimed at maximizing the carrier’s expected profit. The model accounts for synergies among lanes and competing carriers’ bid patterns. We develop an iterative coordinate search algorithm to find high-quality solutions. The benefits of employing the bid price optimization technology are demonstrated through computational experiments involving a simulated marketplace.

Suggested Citation

  • Kuyzu, Gültekin & Akyol, Çağla Gül & Ergun, Özlem & Savelsbergh, Martin, 2015. "Bid price optimization for truckload carriers in simultaneous transportation procurement auctions," Transportation Research Part B: Methodological, Elsevier, vol. 73(C), pages 34-58.
  • Handle: RePEc:eee:transb:v:73:y:2015:i:c:p:34-58
    DOI: 10.1016/j.trb.2014.11.012
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    9. Hammami, Farouk & Rekik, Monia & Coelho, Leandro C., 2021. "Exact and hybrid heuristic methods to solve the combinatorial bid construction problem with stochastic prices in truckload transportation services procurement auctions," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 204-229.
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    15. Mesa-Arango, Rodrigo & Ukkusuri, Satish V., 2015. "Demand clustering in freight logistics networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 36-51.

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