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Simultaneous dock assignment and sequencing of inbound trucks under a fixed outbound truck schedule in multi-door cross docking operations

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  • Liao, T.W.
  • Egbelu, P.J.
  • Chang, P.C.

Abstract

This paper studies the simultaneous dock assignment and sequencing of inbound trucks for a multi-door cross docking operation with the objective to minimize total weighted tardiness, under a fixed outbound truck departure schedule. The problem is newly formulated and solved by six different metaheuristic algorithms, which include simulated annealing, tabu search, ant colony optimization, differential evolution, and two hybrid differential-evolution algorithms. To evaluate the total weighted tardiness associated with any given inbound-truck sequence and dock assignment, an operational policy is developed. This policy is employed by every metaheuristic algorithm in searching for the optimal dock assignment and sequence. Each metaheuristic algorithm is tested with 40 problems. The major conclusions are: (1) metaheuristic is generally an effective optimization method for the subject problem; (2) population based metaheuristic algorithms are generally more effective than projection based metaheuristic algorithms; (3) proper selection of algorithmic parameters is important and more critical for projection based metaheuristic algorithms than population based algorithms; (4) the two best algorithms are ant colony optimization and hybrid differential evolution 2; among them, ACO takes less time than hybrid 2 and thus can be declared the best among all the six metaheuristic algorithms tested.

Suggested Citation

  • Liao, T.W. & Egbelu, P.J. & Chang, P.C., 2013. "Simultaneous dock assignment and sequencing of inbound trucks under a fixed outbound truck schedule in multi-door cross docking operations," International Journal of Production Economics, Elsevier, vol. 141(1), pages 212-229.
    • Handle: RePEc:eee:proeco:v:141:y:2013:i:1:p:212-229
    DOI: 10.1016/j.ijpe.2012.03.037
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Buijs, Paul & Vis, Iris F.A. & Carlo, Héctor J., 2014. "Synchronization in cross-docking networks: A research classification and framework," European Journal of Operational Research, Elsevier, vol. 239(3), pages 593-608.
    2. Peter Bodnar & René de Koster & Kaveh Azadeh, 2017. "Scheduling Trucks in a Cross-Dock with Mixed Service Mode Dock Doors," Transportation Science, INFORMS, vol. 51(1), pages 112-131, February.
    3. Hermel, Dror & Hasheminia, Hamed & Adler, Nicole & Fry, Michael J., 2016. "A solution framework for the multi-mode resource-constrained cross-dock scheduling problem," Omega, Elsevier, vol. 59(PB), pages 157-170.
    4. Vanajakumari, Manoj & Sun, Haoying & Jones, Ashley & Sriskandarajah, Chelliah, 2022. "Supply chain planning: A case for Hybrid Cross-Docks," Omega, Elsevier, vol. 108(C).
    5. Gelareh, Shahin & Monemi, Rahimeh Neamatian & Semet, Frédéric & Goncalves, Gilles, 2016. "A branch-and-cut algorithm for the truck dock assignment problem with operational time constraints," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1144-1152.
    6. Maxim A. Dulebenets, 2018. "A Diploid Evolutionary Algorithm for Sustainable Truck Scheduling at a Cross-Docking Facility," Sustainability, MDPI, vol. 10(5), pages 1-23, April.
    7. 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.
    8. H. Khorshidian & M. Akbarpour Shirazi & S. M. T. Fatemi Ghomi, 2019. "An intelligent truck scheduling and transportation planning optimization model for product portfolio in a cross-dock," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 163-184, January.
    9. Fateme Heidari & Seyed Hessameddin Zegordi & Reza Tavakkoli-Moghaddam, 2018. "Modeling truck scheduling problem at a cross-dock facility through a bi-objective bi-level optimization approach," Journal of Intelligent Manufacturing, Springer, vol. 29(5), pages 1155-1170, June.
    10. 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.
    11. Dulebenets, Maxim A., 2019. "A Delayed Start Parallel Evolutionary Algorithm for just-in-time truck scheduling at a cross-docking facility," International Journal of Production Economics, Elsevier, vol. 212(C), pages 236-258.
    12. Ladier, Anne-Laure & Alpan, Gülgün, 2016. "Cross-docking operations: Current research versus industry practice," Omega, Elsevier, vol. 62(C), pages 145-162.

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