IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v46y2010i5p650-666.html
   My bibliography  Save this article

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

Author

Listed:
  • Soltani, Roya
  • Sadjadi, Seyed Jafar

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.

Suggested Citation

  • Soltani, Roya & Sadjadi, Seyed Jafar, 2010. "Scheduling trucks in cross-docking systems: A robust meta-heuristics approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(5), pages 650-666, September.
  • Handle: RePEc:eee:transe:v:46:y:2010:i:5:p:650-666
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554509001616
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jesus Gonzalez-Feliu, 2013. "Multi-stage LTL transport systems in supply chain management," Post-Print halshs-00796714, HAL.
    2. 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.
    3. repec:hal:wpaper:halshs-00796714 is not listed on IDEAS
    4. 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.
    5. 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.
    6. Van Belle, Jan & Valckenaers, Paul & Cattrysse, Dirk, 2012. "Cross-docking: State of the art," Omega, Elsevier, vol. 40(6), pages 827-846.
    7. Gonzalez-Feliu, Jesus, 2011. "Freight Distribution Systems with Cross Docking: A Multidisciplinary Analysis," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 51(1).
    8. Vanajakumari, Manoj & Sun, Haoying & Jones, Ashley & Sriskandarajah, Chelliah, 2022. "Supply chain planning: A case for Hybrid Cross-Docks," Omega, Elsevier, vol. 108(C).
    9. 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.
    10. Maknoon, M.Y. & Soumis, F. & Baptiste, P., 2016. "Optimizing transshipment workloads in less-than-truckload cross-docks," International Journal of Production Economics, Elsevier, vol. 179(C), pages 90-100.
    11. Saeid Rezaei & Amirsaman Kheirkhah, 2018. "A comprehensive approach in designing a sustainable closed-loop supply chain network using cross-docking operations," Computational and Mathematical Organization Theory, Springer, vol. 24(1), pages 51-98, March.
    12. 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.
    13. 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.
    14. Wang, Haibo & Alidaee, Bahram, 2019. "The multi-floor cross-dock door assignment problem: Rising challenges for the new trend in logistics industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 132(C), pages 30-47.
    15. 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).
    16. Ladier, Anne-Laure & Alpan, Gülgün, 2016. "Cross-docking operations: Current research versus industry practice," Omega, Elsevier, vol. 62(C), pages 145-162.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transe:v:46:y:2010:i:5:p:650-666. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.