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Scheduling of truck arrivals, truck departures and shop-floor operation in a cross-dock platform, based on trucks loading plans

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  • Serrano, Christian
  • Delorme, Xavier
  • Dolgui, Alexandre

Abstract

The extended international development of the automotive industry has been supported in a part by crossdocking platforms set up between distant manufacturing plants and nearby first-tier suppliers. A cross-dock centre is an intermediate consolidation point in a supply chain linking a set of suppliers with a set of customers. Main advantages are a reduced lead time, a decrease of stock level and economies in transportation. At shop-floor, packages from inbound trucks are unloaded, moved across, sorted by destination and loaded onto outbound trucks. A case of study at Renault company is presented in this paper. Two important points are observed for this Renault crossdock center: (1) repackaging operations are performed for some products and (2) due to the high diversity of packages' dimensions and stacking rules, scheduling of inbound, repackaging and loading outbound trucks is a complex problem. We propose a mixed integer linear programming model to schedule inbound trucks' arrival times (considering given soft time windows), shop-floor repackaging operations and outbound trucks' departure times. Capacitated temporary storage zones and a capacitated repack workshop are considered at crossdock shop-floor. The model seeks to minimize penalty costs related to inbound trucks' arrival times and consequently unbalanced workload of the repack workshop. Implemented in CPLEX and tested on some instances provided by Renault, results of numerical experiments show the efficiency and pertinence of the model in the given industrial context.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:proeco:v:194:y:2017:i:c:p:102-112
    DOI: 10.1016/j.ijpe.2017.09.008
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Pan, Fei & Zhou, Wei & Fan, Tijun & Li, Shuxia & Zhang, Chong, 2021. "Deterioration rate variation risk for sustainable cross-docking service operations," International Journal of Production Economics, Elsevier, vol. 232(C).
    3. Reza Kiani Mavi & Mark Goh & Neda Kiani Mavi & Ferry Jie & Kerry Brown & Sharon Biermann & Ahmad A. Khanfar, 2020. "Cross-Docking: A Systematic Literature Review," Sustainability, MDPI, vol. 12(11), pages 1-19, June.
    4. Wolff, Pascal & Emde, Simon & Pfohl, Hans-Christian, 2021. "Internal resource requirements: The better performance metric for truck scheduling?," Omega, Elsevier, vol. 103(C).
    5. Sayed Ibrahim Sayed & Ivan Contreras & Juan A. Diaz & Dolores E. Luna, 2020. "Integrated cross-dock door assignment and truck scheduling with handling times," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 705-727, October.
    6. Feifeng Zheng & Yaxin Pang & Yinfeng Xu, 2022. "Heuristics for cross-docking scheduling of truck arrivals, truck departures and shop-floor operations," Journal of Combinatorial Optimization, Springer, vol. 43(5), pages 1571-1601, July.
    7. Ieva Meidute-Kavaliauskiene & Nihal Sütütemiz & Figen Yıldırım & Shahryar Ghorbani & Renata Činčikaitė, 2022. "Optimizing Multi Cross-Docking Systems with a Multi-Objective Green Location Routing Problem Considering Carbon Emission and Energy Consumption," Energies, MDPI, vol. 15(4), pages 1-24, February.
    8. 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.
    9. Mohammad Amin Amani & Mohammad Mahdi Nasiri, 2023. "A novel cross docking system for distributing the perishable products considering preemption: a machine learning approach," Journal of Combinatorial Optimization, Springer, vol. 45(5), pages 1-32, July.
    10. Hidekazu Itoh & David Guerrero, 2020. "Investigating variations in the deep-sea sourcing strategies of car manufacturers: Two case studies of parts consolidation centers in Japan," Post-Print hal-02549412, HAL.
    11. Oluwatosin Theophilus & Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Masoud Kavoosi, 2019. "Truck Scheduling at Cross-Docking Terminals: A Follow-Up State-Of-The-Art Review," Sustainability, MDPI, vol. 11(19), pages 1-23, September.
    12. 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.

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