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Two-stage optimisation method for material flow and allocation management in cross-docking networks

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  • İlker Küçükoğlu
  • Nursel Öztürk

Abstract

Cross-docking is a relatively new logistics strategy in which items are moved from suppliers to customers through cross-docking centres without putting them into long-term storage. An important decision during the planning of cross-docking operations is related to the material flow management in the network, which has great potential to reduce transportation costs. However, until now, there has been a lack of studies regarding operations for both transportation of trucks between locations and trans-shipment of items in cross-docking centres. This study presents a novel two-stage mixed integer linear mathematical model for the transportation problem of cross-docking network design integrated with truck–door assignments to minimise total transportation costs from suppliers to customers. This model also considers incoming/outgoing truck-loading plans and product allocations in the cross-docking area with regard to the two-dimensional physical constraints. Due to the complexity of the problem, a genetic algorithm (GA) is proposed to solve large-sized problems. Computational studies are conducted to examine the validity of the two-stage model and performance of the GA. The computational studies show that the introduced model provides a comprehensive plan for material flow management in cross-docking networks and proposed GA is capable of obtaining effective results for the problem within a short computational time.

Suggested Citation

  • İlker Küçükoğlu & Nursel Öztürk, 2017. "Two-stage optimisation method for material flow and allocation management in cross-docking networks," International Journal of Production Research, Taylor & Francis Journals, vol. 55(2), pages 410-429, January.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:2:p:410-429
    DOI: 10.1080/00207543.2016.1184346
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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. Jayaraman, Vaidyanathan & Ross, Anthony, 2003. "A simulated annealing methodology to distribution network design and management," European Journal of Operational Research, Elsevier, vol. 144(3), pages 629-645, February.
    3. 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.
    4. Van Belle, Jan & Valckenaers, Paul & Cattrysse, Dirk, 2012. "Cross-docking: State of the art," Omega, Elsevier, vol. 40(6), pages 827-846.
    5. 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.
    6. Hossein Abouee-Mehrizi & Oded Berman & M. Reza Baharnemati, 2014. "Designing Production-Inventory-Transportation Systems with Capacitated Cross-Docks," Transportation Science, INFORMS, vol. 48(1), pages 121-135, February.
    7. C S Sung & S H Song, 2003. "Integrated service network design for a cross-docking supply chain network," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(12), pages 1283-1295, December.
    8. C S Sung & W Yang, 2008. "An exact algorithm for a cross-docking supply chain network design problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(1), pages 119-136, January.
    9. Konur, Dinçer & Golias, Mihalis M., 2013. "Cost-stable truck scheduling at a cross-dock facility with unknown truck arrivals: A meta-heuristic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 71-91.
    10. Waller, Matthew A. & Cassady, C. Richard & Ozment, John, 2006. "Impact of cross-docking on inventory in a decentralized retail supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(5), pages 359-382, September.
    11. Andrew Lim & Zhaowei Miao & Brian Rodrigues & Zhou Xu, 2005. "Transshipment through crossdocks with inventory and time windows," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(8), pages 724-733, December.
    12. Yan, Hong & Tang, Shao-long, 2009. "Pre-distribution and post-distribution cross-docking operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(6), pages 843-859, November.
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