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Time-dependent vehicle routing subject to time delay perturbations

Author

Listed:
  • O. Jabali
  • T. Van Woensel
  • A. de Kok
  • C. Lecluyse
  • H. Peremans

Abstract

This paper extends the existing vehicle routing models by incorporating unanticipated delays at the customers' docking stations in time-dependent environments, i.e., where speeds are not constant throughout the planning horizon. A model is presented that is capable of optimizing the relevant costs taking into account these unplanned delays. The theoretical implications on the composition of the routing schedules are examined in detail. Experiments using a Tabu Search heuristic on a large number of datasets are provided. Based on these experiments, the generated routing schedules are analyzed and the cost-benefit trade-off between routing schedules that are protected against delays and routing schedules that are not protected against these delays are examined. Structural properties of the different solutions that have higher endurance capabilities with regards to the disruptions are highlighted.

Suggested Citation

  • O. Jabali & T. Van Woensel & A. de Kok & C. Lecluyse & H. Peremans, 2009. "Time-dependent vehicle routing subject to time delay perturbations," IISE Transactions, Taylor & Francis Journals, vol. 41(12), pages 1049-1066.
    • Handle: RePEc:taf:uiiexx:v:41:y:2009:i:12:p:1049-1066
    DOI: 10.1080/07408170902976194
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    Citations

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    Cited by:

    1. Sun, Peng & Veelenturf, Lucas P. & Hewitt, Mike & Van Woensel, Tom, 2018. "The time-dependent pickup and delivery problem with time windows," Transportation Research Part B: Methodological, Elsevier, vol. 116(C), pages 1-24.
    2. Avraham, Edison & Raviv, Tal, 2020. "The data-driven time-dependent traveling salesperson problem," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 25-40.
    3. Said Dabia & Stefan Ropke & Tom van Woensel & Ton De Kok, 2013. "Branch and Price for the Time-Dependent Vehicle Routing Problem with Time Windows," Transportation Science, INFORMS, vol. 47(3), pages 380-396, August.
    4. Lu, Jiawei & Nie, Qinghui & Mahmoudi, Monirehalsadat & Ou, Jishun & Li, Chongnan & Zhou, Xuesong Simon, 2022. "Rich arc routing problem in city logistics: Models and solution algorithms using a fluid queue-based time-dependent travel time representation," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 143-182.
    5. Fleming, Christopher L. & Griffis, Stanley E. & Bell, John E., 2013. "The effects of triangle inequality on the vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 224(1), pages 1-7.

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