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Vehicle routing and scheduling in cross docks with forward and reverse logistics

Author

Listed:
  • Yaser Kaboudani

    (Amirkabir University of Technology)

  • Seyyed Hassan Ghodsypour

    (Amirkabir University of Technology)

  • Hamidreza Kia

    (Amirkabir University of Technology)

  • Amin Shahmardan

    (Amirkabir University of Technology)

Abstract

Cross-docking is a useful logistic practice used by many companies to reduce logistical costs. Cross-docking facilities are responsible for transferring products from suppliers to retailers and vice versa. Furthermore, vehicle routing is an important issue with regard to cross-docks. This paper investigates, for the first time, a vehicle routing problem in a distribution network with a cross-docking center by considering both forward and reverse logistics in an integrated model. In this regard, two strategies are presented to tackle the forward and reverse logistics. A mathematical model is developed for each strategy in order to find the best solution to transfer products from suppliers to retailers and then return products from retailers to suppliers through cross docks with minimum transportation cost. As the resulting mathematical model is NP-hard, a simulated annealing based heuristic algorithm is developed to optimize the model. Finally, these strategies are compared in terms of cost and the results demonstrate that the second strategy is superior to the first one.

Suggested Citation

  • Yaser Kaboudani & Seyyed Hassan Ghodsypour & Hamidreza Kia & Amin Shahmardan, 2020. "Vehicle routing and scheduling in cross docks with forward and reverse logistics," Operational Research, Springer, vol. 20(3), pages 1589-1622, September.
  • Handle: RePEc:spr:operea:v:20:y:2020:i:3:d:10.1007_s12351-018-0396-z
    DOI: 10.1007/s12351-018-0396-z
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    References listed on IDEAS

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    1. Y Li & A Lim & B Rodrigues, 2004. "Crossdocking—JIT scheduling with time windows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(12), pages 1342-1351, December.
    2. 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.
    3. 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.
    4. Farahani, Reza Zanjirani & Rezapour, Shabnam & Drezner, Tammy & Fallah, Samira, 2014. "Competitive supply chain network design: An overview of classifications, models, solution techniques and applications," Omega, Elsevier, vol. 45(C), pages 92-118.
    5. M Wen & J Larsen & J Clausen & J-F Cordeau & G Laporte, 2009. "Vehicle routing with cross-docking," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1708-1718, December.
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    Cited by:

    1. Fatemeh Faghih-Mohammadi & Mohammad Mahdi Nasiri & Dinçer Konur, 2023. "Cross-dock facility for disaster relief operations," Annals of Operations Research, Springer, vol. 322(1), pages 497-538, March.

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