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Integrated cross-dock door assignment and truck scheduling with handling times

Author

Listed:
  • Sayed Ibrahim Sayed

    (Concordia University and Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT))

  • Ivan Contreras

    (Concordia University and Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT))

  • Juan A. Diaz

    (Universidad de las Américas Puebla)

  • Dolores E. Luna

    (Universidad de las Américas Puebla)

Abstract

In a cross-dock, commodities are unloaded from incoming trucks, consolidated according to their destinations, and then loaded into outgoing trucks with little or no storage in between. In this paper, we address an integrated cross-dock door assignment and truck scheduling problem to simultaneously determine the assignment and scheduling of incoming trucks to inbound doors and outgoing trucks to outbound doors, with the objective of minimizing the total time to process all trucks. We consider handling times to be truckload and door dependent and to include unloading, transfer and loading times of commodities. We propose two mathematical programming formulations and two hybrid metaheuristics to solve the problem. We report the results of computational experiments to assess the performance of the formulations and algorithms on a set of benchmark instances.

Suggested Citation

  • Sayed Ibrahim Sayed & Ivan Contreras & Juan A. Diaz & Dolores E. Luna, 2020. "Integrated cross-dock door assignment and truck scheduling with handling times," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 705-727, October.
    • Handle: RePEc:spr:topjnl:v:28:y:2020:i:3:d:10.1007_s11750-020-00556-z
    DOI: 10.1007/s11750-020-00556-z
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    References listed on IDEAS

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    Cited by:

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    2. Ieva Meidute-Kavaliauskiene & Nihal Sütütemiz & Figen Yıldırım & Shahryar Ghorbani & Renata Činčikaitė, 2022. "Optimizing Multi Cross-Docking Systems with a Multi-Objective Green Location Routing Problem Considering Carbon Emission and Energy Consumption," Energies, MDPI, vol. 15(4), pages 1-24, February.

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