The container drayage problem for heterogeneous trucks with multiple loads: A revisit

Rui Chen, Shukai Chen, Haipeng Cui and Qiang Meng

Transportation Research Part E: Logistics and Transportation Review, 2021, vol. 147, issue C

Abstract: In this study, we revisit the container drayage problem for heterogeneous trucks with multiple loads in view of its practical significance. We first propose a tailored mixed-integer linear programming (MILP) model explicitly to reflect the reality of container drayage operations. To solve medium-scale problems more effectively, two relaxed MILP models are built to provide a solution that is close to optimal with less computational time. These two relaxed models are proven to work as intended and provide optimal solutions under certain conditions. Moreover, an effective hybrid heuristic method incorporating the cheapest feasible insertion mechanism and the variable neighborhood search scheme is designed to solve large-scale problems. Extensive numerical experiments demonstrate the scalability of the heuristic method in real-world applications.

Keywords: Container drayage; Multiple container loads; Heterogeneous fleet; Variable neighborhood search (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (9)

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DOI: 10.1016/j.tre.2021.102241

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