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Cross-docking based factory logistics unitisation process: An approximate dynamic programming approach

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  • Lyu, Zhongyuan
  • Huang, George Q.

Abstract

The factory logistics increases in importance as more processes and types of components are needed to produce a product. Due to the limited industrial space and stressful competitive environment, manufacturers increasingly outsource logistics-related activities to Third-Party Logistics (3PLs) and Supply hubs. However, the challenges, including unsynchronised decisions with other partners, non-value-added warehousing operations, and excessive space occupation, still burden manufacturers. This research proposes a cross-docking-based factory logistics unitisation process (CD-FLUP) that integrates the cross-docking technique into the assembly line feeding process and uses mobile shelves for component holding and delivery. We formulate the CD-FLUP with an integer program to minimise the total number of shelf units put into storage and the number of deliveries to assembly lines. Based on time decomposition, we propose an approximate dynamic programming (ADP) approach to solve the model efficiently. The time-varying value function approximation (VFA) developed in the proposed ADP approach reduces the approximation parameters and speeds up convergence significantly. The numerical experiment shows that the proposed ADP can generate high-quality solutions far more efficiently than a commercial solver.

Suggested Citation

  • Lyu, Zhongyuan & Huang, George Q., 2023. "Cross-docking based factory logistics unitisation process: An approximate dynamic programming approach," European Journal of Operational Research, Elsevier, vol. 311(1), pages 112-124.
    • Handle: RePEc:eee:ejores:v:311:y:2023:i:1:p:112-124
    DOI: 10.1016/j.ejor.2023.04.030
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    References listed on IDEAS

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    1. 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.
    2. Emde, Simon & Schneider, Michael, 2018. "Just-In-Time Vehicle Routing for In-House Part Feeding to Assembly Lines," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 96055, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. repec:dau:papers:123456789/14496 is not listed on IDEAS
    4. Emde, Simon, 2017. "Scheduling the replenishment of just-in-time supermarkets in assembly plants," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 109730, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Alejandro Toriello & George Nemhauser & Martin Savelsbergh, 2010. "Decomposing inventory routing problems with approximate value functions," Naval Research Logistics (NRL), John Wiley & Sons, vol. 57(8), pages 718-727, December.
    6. Tadumadze, Giorgi & Boysen, Nils & Emde, Simon & Weidinger, Felix, 2019. "Integrated truck and workforce scheduling to accelerate the unloading of trucks," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 112842, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. 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.
    8. 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.
    9. Mohammed Hichame Benbitour & Evren Sahin, 2015. "A comparison of different cross-docking organizations in a JIT manufacturing system; application in the automotive industry," Post-Print hal-01266198, HAL.
    10. Dimitri J. Papageorgiou & Myun-Seok Cheon & George Nemhauser & Joel Sokol, 2015. "Approximate Dynamic Programming for a Class of Long-Horizon Maritime Inventory Routing Problems," Transportation Science, INFORMS, vol. 49(4), pages 870-885, November.
    11. Belgacem Bouzaiene-Ayari & Clark Cheng & Sourav Das & Ricardo Fiorillo & Warren B. Powell, 2016. "From Single Commodity to Multiattribute Models for Locomotive Optimization: A Comparison of Optimal Integer Programming and Approximate Dynamic Programming," Transportation Science, INFORMS, vol. 50(2), pages 366-389, May.
    12. Yuan, Yuan & Tang, Lixin, 2017. "Novel time-space network flow formulation and approximate dynamic programming approach for the crane scheduling in a coil warehouse," European Journal of Operational Research, Elsevier, vol. 262(2), pages 424-437.
    13. Coindreau, Marc-Antoine & Gallay, Olivier & Zufferey, Nicolas & Laporte, Gilbert, 2021. "Inbound and outbound flow integration for cross-docking operations," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1153-1163.
    14. Gregory A. Godfrey & Warren B. Powell, 2002. "An Adaptive Dynamic Programming Algorithm for Dynamic Fleet Management, II: Multiperiod Travel Times," Transportation Science, INFORMS, vol. 36(1), pages 40-54, February.
    15. Simon Emde, 2017. "Scheduling the replenishment of just-in-time supermarkets in assembly plants," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(1), pages 321-345, January.
    16. Van Belle, Jan & Valckenaers, Paul & Cattrysse, Dirk, 2012. "Cross-docking: State of the art," Omega, Elsevier, vol. 40(6), pages 827-846.
    17. Guemri, Oualid & Nduwayo, Placide & Todosijević, Raca & Hanafi, Saïd & Glover, Fred, 2019. "Probabilistic Tabu Search for the Cross-Docking Assignment Problem," European Journal of Operational Research, Elsevier, vol. 277(3), pages 875-885.
    18. Mustapha Sali & Evren Sahin & Alain Patchong, 2015. "An empirical assessment of the performances of three line feeding modes used in the automotive sector: line stocking vs. kitting vs. sequencing," International Journal of Production Research, Taylor & Francis Journals, vol. 53(5), pages 1439-1459, March.
    19. Chen, Xi & Hewitt, Mike & Thomas, Barrett W., 2018. "An approximate dynamic programming method for the multi-period technician scheduling problem with experience-based service times and stochastic customers," International Journal of Production Economics, Elsevier, vol. 196(C), pages 122-134.
    20. Gregory A. Godfrey & Warren B. Powell, 2002. "An Adaptive Dynamic Programming Algorithm for Dynamic Fleet Management, I: Single Period Travel Times," Transportation Science, INFORMS, vol. 36(1), pages 21-39, February.
    21. Yang, Qian & Zhao, Xiande, 2016. "Are logistics outsourcing partners more integrated in a more volatile environment?," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 211-220.
    22. Fonseca, Gabriela B. & Nogueira, Thiago H. & Ravetti, Martín Gómez, 2019. "A hybrid Lagrangian metaheuristic for the cross-docking flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 275(1), pages 139-154.
    23. Huseyin Topaloglu & Warren B. Powell, 2006. "Dynamic-Programming Approximations for Stochastic Time-Staged Integer Multicommodity-Flow Problems," INFORMS Journal on Computing, INFORMS, vol. 18(1), pages 31-42, February.
    24. Battini, Daria & Boysen, Nils & Emde, Simon, 2013. "Just-in-Time supermarkets for part supply in the automobile industry," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 79438, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    25. Ladier, Anne-Laure & Alpan, Gülgün, 2016. "Cross-docking operations: Current research versus industry practice," Omega, Elsevier, vol. 62(C), pages 145-162.
    26. 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.
    27. Daria Battini & Nils Boysen & Simon Emde, 2013. "Just-in-Time supermarkets for part supply in the automobile industry," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(2), pages 209-217, July.
    28. Rijal, Arpan & Bijvank, Marco & de Koster, René, 2019. "Integrated scheduling and assignment of trucks at unit-load cross-dock terminals with mixed service mode dock doors," European Journal of Operational Research, Elsevier, vol. 278(3), pages 752-771.
    29. Simon Emde & Michael Schneider, 2018. "Just-In-Time Vehicle Routing for In-House Part Feeding to Assembly Lines," Transportation Science, INFORMS, vol. 52(3), pages 657-672, June.
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