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Integrated truck and workforce scheduling to accelerate the unloading of trucks

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  • Tadumadze, Giorgi
  • Boysen, Nils
  • Emde, Simon
  • Weidinger, Felix

Abstract

Truck scheduling coordinates the loading and unloading processes of trucks competing for the timely processing at some terminal, e.g., a cross-docking terminal or distribution center. Existing research almost invariably assumes that the (un-)loading times of trucks are fixed. In the real-world, however, terminal managers have the additional flexibility of adapting the workforce for processing critical trucks. For instance, two instead of one worker can be assigned to jointly unload the parcels of a trailer reaching a terminal of the postal service industry onto a conveyor, or an additional forklift can support the removal of pallets from a truck in a distribution center. Thus, workforce management influences the processing times of trucks and a simultaneous planning of both tasks seems advisable. For two representative truck scheduling settings, mixed-integer models integrating workforce planning and truck scheduling are presented. Furthermore, we re-formulate the problems as interval scheduling problems and develop heuristics based on these formulations. Finally, the holistic planning models are compared with alternative models assuming a fixed workforce. Our findings reveal that integrated planning can considerably increase the performance of truck scheduling in terms of total flow time and punctuality.

Suggested Citation

  • Tadumadze, Giorgi & Boysen, Nils & Emde, Simon & Weidinger, Felix, 2019. "Integrated truck and workforce scheduling to accelerate the unloading of trucks," European Journal of Operational Research, Elsevier, vol. 278(1), pages 343-362.
  • Handle: RePEc:eee:ejores:v:278:y:2019:i:1:p:343-362
    DOI: 10.1016/j.ejor.2019.04.024
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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. Wolff, Pascal & Emde, Simon & Pfohl, Hans-Christian, 2021. "Internal resource requirements: The better performance metric for truck scheduling?," Omega, Elsevier, vol. 103(C).
    3. 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.
    4. Simon Emde & Hamid Abedinnia & Anne Lange & Christoph H. Glock, 2020. "Scheduling personnel for the build-up of unit load devices at an air cargo terminal with limited space," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(2), pages 397-426, June.
    5. 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.
    6. Dujuan Wang & Yugang Yu & Huaxin Qiu & Yunqiang Yin & T. C. E. Cheng, 2020. "Two‐agent scheduling with linear resource‐dependent processing times," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(7), pages 573-591, October.
    7. Mingyue Shao & Dongxu Chen & Xiaolong Lu & Xuefei Liu & Zhongzhen Yang, 2023. "Does Drop and Pull Transport Have a Chance? The Case of China," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    8. Giorgi Tadumadze & Nils Boysen & Simon Emde, 2020. "Robust spotter scheduling in trailer yards," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 995-1021, December.
    9. Xi, Xiang & Changchun, Liu & Yuan, Wang & Loo Hay, Lee, 2020. "Two-stage conflict robust optimization models for cross-dock truck scheduling problem under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    10. Giorgi Tadumadze & Simon Emde & Heiko Diefenbach, 2020. "Exact and heuristic algorithms for scheduling jobs with time windows on unrelated parallel machines," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(2), pages 461-497, June.

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