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Scheduling trucks in cross-docking systems: A robust meta-heuristics approach

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  • Soltani, Roya
  • Sadjadi, Seyed Jafar
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    Abstract

    In a cross-docking system, trucks must be scheduled to minimize the total flow time of the system. This problem is NP-hard, and this study proposes two hybrid meta-heuristics--hybrid simulated annealing and hybrid variable neighborhood search--to solve it by achieving the best sequence of truck pairs. The Taguchi method serves to reveal the best robustness of these algorithms. To demonstrate the effectiveness of the proposed methods, especially for large-sized problems, this study solves various test problems, and the computational results clearly reveal that the proposed methods outperform previous approaches.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part E: Logistics and Transportation Review.

    Volume (Year): 46 (2010)
    Issue (Month): 5 (September)
    Pages: 650-666

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    Handle: RePEc:eee:transe:v:46:y:2010:i:5:p:650-666

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    Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description

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    Related research

    Keywords: Logistics Distribution Scheduling Cross-docking Meta-heuristics Hybrid simulated annealing (HSA) Hybrid variable neighborhood search (HVNS) Taguchi method;

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    Cited by:
    1. Jesus Gonzalez-Feliu, 2013. "Multi-stage LTL transport systems in supply chain management," Post-Print halshs-00796714, HAL.
    2. 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.
    3. Jesus Gonzalez-Feliu, 2012. "Freight distribution systems with cross-docking: a multidisciplinary analysis," Post-Print halshs-00498496, HAL.
    4. Nourinejad, Mehdi & Roorda, Matthew J., 2014. "A dynamic carsharing decision support system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 36-50.
    5. Shi, Wen & Shang, Jennifer & Liu, Zhixue & Zuo, Xiaolu, 2014. "Optimal design of the auto parts supply chain for JIT operations: Sequential bifurcation factor screening and multi-response surface methodology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 664-676.
    6. repec:hal:wpaper:halshs-00796714 is not listed on IDEAS

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