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Integrated scheduling and assignment of trucks at unit-load cross-dock terminals with mixed service mode dock doors

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  • Rijal, Arpan
  • Bijvank, Marco
  • de Koster, René

Abstract

Scheduling trucks and assigning them to dock doors are two major operational decisions at cross-dock facilities. Including flexibility by operating (part of) the dock doors in a mixed service mode is known to make cross-dock operations more efficient (i.e., when both inbound and outbound trucks can be processed at these mixed-mode doors). However, the literature and practice often consider the truck scheduling and dock-door assignment problem sequentially, or only for either inbound or outbound operations. When combined with mixed-mode dock doors, such a sequential approach results in suboptimal or even infeasible solutions. In this paper, we study an integrated approach to solve the two problems simultaneously for cross-dock terminals where dock doors can operate in a mixed service mode. We propose an adaptive large neighborhood search algorithm to solve the integrated problem and find good solutions within a reasonable amount of computational effort. Extensive computational experiments demonstrate that the operational costs at a cross-dock terminal reduce on average 12% compared to the best solution with a sequential approach (and even 20–30% compared to the results of the metaheuristics from the literature). Moreover, with the integrated approach, we study what percentage of dock doors to operate in a mixed service mode and where to position these flexible doors in U-shaped cross-dock terminals. Numerical results indicate an average cost savings of 9.7% when 60% of the dock doors are used flexibly, and the savings increase to 12.3% when these doors are centrally located in the cross-dock facility.

Suggested Citation

  • Rijal, Arpan & Bijvank, Marco & de Koster, René, 2019. "Integrated scheduling and assignment of trucks at unit-load cross-dock terminals with mixed service mode dock doors," European Journal of Operational Research, Elsevier, vol. 278(3), pages 752-771.
  • Handle: RePEc:eee:ejores:v:278:y:2019:i:3:p:752-771
    DOI: 10.1016/j.ejor.2019.04.028
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    References listed on IDEAS

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    Cited by:

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    3. Wolff, Pascal & Emde, Simon & Pfohl, Hans-Christian, 2021. "Internal resource requirements: The better performance metric for truck scheduling?," Omega, Elsevier, vol. 103(C).
    4. Mohammad Amin Amani & Mohammad Mahdi Nasiri, 2023. "A novel cross docking system for distributing the perishable products considering preemption: a machine learning approach," Journal of Combinatorial Optimization, Springer, vol. 45(5), pages 1-32, July.
    5. Manuel Ostermeier & Andreas Holzapfel & Heinrich Kuhn & Daniel Schubert, 2022. "Integrated zone picking and vehicle routing operations with restricted intermediate storage," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(3), pages 795-832, September.
    6. Lyu, Zhongyuan & Huang, George Q., 2023. "Cross-docking based factory logistics unitisation process: An approximate dynamic programming approach," European Journal of Operational Research, Elsevier, vol. 311(1), pages 112-124.
    7. 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).
    8. 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.
    9. 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.
    10. Bombelli, Alessandro & Fazi, Stefano, 2022. "The ground handler dock capacitated pickup and delivery problem with time windows: A collaborative framework for air cargo operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    11. Jamili, Negin & van den Berg, Pieter L. & de Koster, René, 2022. "Quantifying the impact of sharing resources in a collaborative warehouse," European Journal of Operational Research, Elsevier, vol. 302(2), pages 518-529.

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