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Advances in Truck Scheduling at a Cross Dock Facility

Author

Listed:
  • Mihalis M. Golias

    (Department of Civil Engineering, University of Memphis, Memphis, TN, USA)

  • Georgios K. D. Saharidis

    (Department of Mechanical Engineering, University of Thessaly, Volos, Greece)

  • Stephanie Ivey

    (Department of Civil Engineering, University of Memphis, Memphis, TN, USA)

  • Hercules E. Haralambides

    (Center for Maritime Economics & Logistics (MEL), Faculty of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands)

Abstract

In this paper the authors deal with the scheduling of inbound and outbound trucks to the available inbound and outbound doors at a cross dock facility. They assume that all trucks served at the facility need to meet several deadlines for deliveries and pick-ups and thus request a departure time window from the facility, penalizing the facility operator, on a unit of time basis, if that deadline is not met. To solve the resulting problem with reasonable computational effort, a memetic algorithm is developed and a number of computational examples show the efficiency of the proposed solution algorithm and the advantages of scheduling inbound and outbound trucks simultaneously, as opposed to sequentially.

Suggested Citation

  • Mihalis M. Golias & Georgios K. D. Saharidis & Stephanie Ivey & Hercules E. Haralambides, 2013. "Advances in Truck Scheduling at a Cross Dock Facility," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 6(3), pages 40-62, July.
    • Handle: RePEc:igg:jisscm:v:6:y:2013:i:3:p:40-62
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    Citations

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    Cited by:

    1. 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.
    2. 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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