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Scheduling of Inbound Trucks at a Cross-Docking Facility: Bi-Objective VS Bi-Level Modeling Approaches

Author

Listed:
  • Mihalis M. Golias

    (University of Memphis, USA)

  • Georgios K. D. Saharidis

    (Kathikas Institute of Research & Technology, Cyprus)

  • Maria Boile

    (Rutgers University, USA)

  • Sotirios Theofanis

    (Rutgers University, USA)

Abstract

This paper examines the problem of scheduling of inbound trucks to the inbound doors at a cross-docking facility. The authors optimize for two conflicting objectives: minimize the total service time for all the inbound trucks and minimize the delayed completion of service for a subset of the inbound trucks, which are considered as preferential customers. The problem is formulated as a bi-objective and as a bi-level mixed integer problem. Due to the nature of the former and the complexity of the latter formulation, a genetic algorithm and a k-th best based algorithm are proposed as the solution approaches. Computational examples are used to discuss the advantages and drawbacks of each formulation.

Suggested Citation

  • Mihalis M. Golias & Georgios K. D. Saharidis & Maria Boile & Sotirios Theofanis, 2012. "Scheduling of Inbound Trucks at a Cross-Docking Facility: Bi-Objective VS Bi-Level Modeling Approaches," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 5(1), pages 20-37, January.
    • Handle: RePEc:igg:jisscm:v:5:y:2012:i:1:p:20-37
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    Cited by:

    1. 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.
    2. Tarik Chargui & Abdelghani Bekrar & Mohamed Reghioui & Damien Trentesaux, 2019. "Multi-Objective Sustainable Truck Scheduling in a Rail–Road Physical Internet Cross-Docking Hub Considering Energy Consumption," Sustainability, MDPI, vol. 11(11), pages 1-23, June.
    3. 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.

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