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Two-stage conflict robust optimization models for cross-dock truck scheduling problem under uncertainty

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  • Xi, Xiang
  • Changchun, Liu
  • Yuan, Wang
  • Loo Hay, Lee

Abstract

This paper studies the cross-dock truck scheduling problem, which considers the uncertainty of trucks’ arrival and operational times. We introduce a concept named conflict and present a two-stage optimization model, aiming at minimizing the total cost and number of conflicts. Furthermore, an extended model by introducing K-means clustering is presented, for which the performance guarantees are provided to validate its efficiency. A column and constraint generation algorithm, which is proved to converge in a finite number of iterations, is designed to solve the developed models. Extensive numerical experiments are conducted to validate the performance of the developed models and algorithm.

Suggested Citation

  • Xi, Xiang & Changchun, Liu & Yuan, Wang & Loo Hay, Lee, 2020. "Two-stage conflict robust optimization models for cross-dock truck scheduling problem under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    • Handle: RePEc:eee:transe:v:144:y:2020:i:c:s1366554520307717
    DOI: 10.1016/j.tre.2020.102123
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