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Minimizing the total completion time of an urban delivery problem with uncertain assembly time

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  • Liu, Bingbing
  • Guo, Xiaolong
  • Yu, Yugang
  • Zhou, Qiang

Abstract

This paper studies a stochastic programming problem to minimize the total completion time consists of the travel time and the assembly time, for a new class of urban delivery problems. The problem is formulated into a chance-constrained programming problem and the probability distribution characteristics of the uncertainty of product assembly time are obtained using a statistical learning method. Then the original chance-constrained programming problem can be converted into an equivalent deterministic programming problem. Subsequently, an algorithm consisting of two sub-heuristics is proposed to solve the deterministic problem. Finally, comprehensive numerical experiments with real dataset show the superiority of the model and the algorithm.

Suggested Citation

  • Liu, Bingbing & Guo, Xiaolong & Yu, Yugang & Zhou, Qiang, 2019. "Minimizing the total completion time of an urban delivery problem with uncertain assembly time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 132(C), pages 163-182.
    • Handle: RePEc:eee:transe:v:132:y:2019:i:c:p:163-182
    DOI: 10.1016/j.tre.2019.11.002
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    Cited by:

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    2. Kim, Nayeon & Montreuil, Benoit & Klibi, Walid & Kholgade, Nitish, 2021. "Hyperconnected urban fulfillment and delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).

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