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An intelligent truck scheduling and transportation planning optimization model for product portfolio in a cross-dock

Author

Listed:
  • H. Khorshidian

    (Amirkabir University of Technology)

  • M. Akbarpour Shirazi

    (Amirkabir University of Technology)

  • S. M. T. Fatemi Ghomi

    (Amirkabir University of Technology)

Abstract

Selecting an effective category of products and their distribution are a challenge in distribution centers separated in two successive stages. First, the optimal number of the products and their participation will be selected. Then, an appropriate planning for distributing and transporting the selected products is determined. Hence, this paper develops a bi-objective mathematical model to integrate truck scheduling and transportation planning in a cross-docking system in a forward/reverse logistics network. For effective products category selection, a hybrid intelligent product portfolio optimization model is proposed. To solve the bi-objective model, a hybrid of the improved version of the augmented e-constraint method (AUGMECON2) and TOPSIS is designed and utilized. Moreover, a real industrial case is provided to justify the performance and applicability of the model and the solution approach.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:1:d:10.1007_s10845-016-1229-7
    DOI: 10.1007/s10845-016-1229-7
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    References listed on IDEAS

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    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. Miao, Zhaowei & Lim, Andrew & Ma, Hong, 2009. "Truck dock assignment problem with operational time constraint within crossdocks," European Journal of Operational Research, Elsevier, vol. 192(1), pages 105-115, January.
    3. Shi, Wen & Liu, Zhixue & Shang, Jennifer & Cui, Yujia, 2013. "Multi-criteria robust design of a JIT-based cross-docking distribution center for an auto parts supply chain," European Journal of Operational Research, Elsevier, vol. 229(3), pages 695-706.
    4. Nihal Orfi & Janis Terpenny & Asli Sahin-Sariisik, 2011. "Harnessing Product Complexity: Step 1—Establishing Product Complexity Dimensions and Indicators," The Engineering Economist, Taylor & Francis Journals, vol. 56(1), pages 59-79.
    5. Agustina, Dwi & Lee, C.K.M. & Piplani, Rajesh, 2014. "Vehicle scheduling and routing at a cross docking center for food supply chains," International Journal of Production Economics, Elsevier, vol. 152(C), pages 29-41.
    6. Mavrotas, George & Florios, Kostas, 2013. "An improved version of the augmented epsilon-constraint method (AUGMECON2) for finding the exact Pareto set in Multi-Objective Integer Programming problems," MPRA Paper 105034, University Library of Munich, Germany.
    7. Alumur, Sibel A. & Nickel, Stefan & Saldanha-da-Gama, Francisco & Verter, Vedat, 2012. "Multi-period reverse logistics network design," European Journal of Operational Research, Elsevier, vol. 220(1), pages 67-78.
    8. Van Belle, Jan & Valckenaers, Paul & Cattrysse, Dirk, 2012. "Cross-docking: State of the art," Omega, Elsevier, vol. 40(6), pages 827-846.
    9. Ma, Hong & Miao, Zhaowei & Lim, Andrew & Rodrigues, Brian, 2011. "Crossdocking distribution networks with setup cost and time window constraint," Omega, Elsevier, vol. 39(1), pages 64-72, January.
    10. Langenberg, Kerstin U. & Seifert, Ralf W. & Tancrez, Jean-Sébastien, 2012. "Aligning supply chain portfolios with product portfolios," International Journal of Production Economics, Elsevier, vol. 135(1), pages 500-513.
    11. 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.
    12. Tang, Shao-Long & Yan, Hong, 2010. "Pre-distribution vs. post-distribution for cross-docking with transshipments," Omega, Elsevier, vol. 38(3-4), pages 192-202, June.
    13. Cardoso, Sónia R. & Barbosa-Póvoa, Ana Paula F.D. & Relvas, Susana, 2013. "Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 226(3), pages 436-451.
    14. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
    15. Chopra, Sunil, 2003. "Designing the distribution network in a supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(2), pages 123-140, March.
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