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Crossdocking—JIT scheduling with time windows

Author

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  • Y Li

    (Hong Kong University of Science and Technology)

  • A Lim

    (Hong Kong University of Science and Technology)

  • B Rodrigues

    (Singapore Management University)

Abstract

In this paper, we study a problem central to crossdocking that aims to eliminate or minimize storage and order picking activity using JIT scheduling. The problem is modelled naturally as a machine scheduling problem. As the problem is NP-hard, and for real-time applications, we designed and implemented two heuristics. The first uses Squeaky Wheel Optimization embedded in a Genetic Algorithm and the second uses Linear Programming within a Genetic Algorithm. Both heuristics offer good solutions in experiments where comparisons are made with the CPLEX solver.

Suggested Citation

  • 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.
    • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:12:d:10.1057_palgrave.jors.2601812
    DOI: 10.1057/palgrave.jors.2601812
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    References listed on IDEAS

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    1. Kate, H.A. ten & Wijngaard, J. & Zijm, W.H.M., 1995. "Minimizing weighted total earliness, total tardiness and setup costs," Research Report 95A37, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
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    Cited by:

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    3. Zhaowei Miao & Feng Yang & Ke Fu & Dongsheng Xu, 2012. "Transshipment service through crossdocks with both soft and hard time windows," Annals of Operations Research, Springer, vol. 192(1), pages 21-47, January.
    4. Imen Hamdi & Imen Boujneh, 2022. "Particle swarm optimization based-algorithms to solve the two-machine cross-docking flow shop problem: just in time scheduling," Journal of Combinatorial Optimization, Springer, vol. 44(2), pages 947-969, September.
    5. Anne-Laure Ladier & Gülgün Alpan, 2018. "Crossdock truck scheduling with time windows: earliness, tardiness and storage policies," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 569-583, March.
    6. Wolff, Pascal & Emde, Simon & Pfohl, Hans-Christian, 2021. "Internal resource requirements: The better performance metric for truck scheduling?," Omega, Elsevier, vol. 103(C).
    7. G A Álvarez-Pérez & J L González-Velarde & J W Fowler, 2009. "Crossdocking— Just in Time scheduling: an alternative solution approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(4), pages 554-564, April.
    8. 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.
    9. 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.
    10. Taniya Mukherjee & Isha Sangal & Biswajit Sarkar & Tamer M. Alkadash & Qais Almaamari, 2023. "Pallet Distribution Affecting a Machine’s Utilization Level and Picking Time," Mathematics, MDPI, vol. 11(13), pages 1-17, July.
    11. Dulebenets, Maxim A., 2019. "A Delayed Start Parallel Evolutionary Algorithm for just-in-time truck scheduling at a cross-docking facility," International Journal of Production Economics, Elsevier, vol. 212(C), pages 236-258.
    12. Shashank Gupta & Piyush Gupta & Aditya Parida, 2017. "Modeling lean maintenance metric using incidence matrix approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(4), pages 799-816, December.
    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. L. Michel & A. Shvartsman & E. Sonderegger & P. Hentenryck, 2011. "Optimal deployment of eventually-serializable data services," Annals of Operations Research, Springer, vol. 184(1), pages 273-294, April.
    15. Dirk Briskorn & Malte Fliedner & Martin Tschöke, 2021. "Vehicle Sequencing at Transshipment Terminals with Handover Relations," INFORMS Journal on Computing, INFORMS, vol. 33(2), pages 477-494, May.
    16. Philippe Grangier & Michel Gendreau & Fabien Lehuédé & Louis-Martin Rousseau, 2021. "The vehicle routing problem with cross-docking and resource constraints," Journal of Heuristics, Springer, vol. 27(1), pages 31-61, April.
    17. Maxim A. Dulebenets, 2018. "A Diploid Evolutionary Algorithm for Sustainable Truck Scheduling at a Cross-Docking Facility," Sustainability, MDPI, vol. 10(5), pages 1-23, April.
    18. Stefan Bugow & Carolin Kellenbrink, 2023. "The parcel hub scheduling problem with limited conveyor capacity and controllable unloading speeds," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 325-357, June.
    19. Serrano, Christian & Delorme, Xavier & Dolgui, Alexandre, 2017. "Scheduling of truck arrivals, truck departures and shop-floor operation in a cross-dock platform, based on trucks loading plans," International Journal of Production Economics, Elsevier, vol. 194(C), pages 102-112.
    20. Vincent F. Yu & Parida Jewpanya & Voratas Kachitvichyanukul, 2016. "Particle swarm optimization for the multi-period cross-docking distribution problem with time windows," International Journal of Production Research, Taylor & Francis Journals, vol. 54(2), pages 509-525, January.

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