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An Exact Method for Vehicle Routing and Truck Driver Scheduling Problems

Author

Listed:
  • Asvin Goel

    (Kühne Logistics University, 20457 Hamburg, Germany)

  • Stefan Irnich

    (Gutenberg School of Management and Economics, Johannes Gutenberg University Mainz, 55099 Mainz, Germany)

Abstract

In most developed countries working hours of truck drivers are constrained by hours of service regulations. When optimizing vehicle routes, trucking companies must consider these constraints to assure that drivers can comply with the regulations. This paper studies the combined vehicle routing and truck driver scheduling problem (VRTDSP), which generalizes the well-known vehicle routing problem with time windows by considering working hour constraints. A branch-and-price algorithm for solving the VRTDSP is presented. This is the first algorithm that solves the VRTDSP to proven optimality.

Suggested Citation

  • Asvin Goel & Stefan Irnich, 2017. "An Exact Method for Vehicle Routing and Truck Driver Scheduling Problems," Transportation Science, INFORMS, vol. 51(2), pages 737-754, May.
    • Handle: RePEc:inm:ortrsc:v:51:y:2017:i:2:p:737-754
    DOI: 10.1287/trsc.2016.0678
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Mayerle, Sérgio Fernando & De Genaro Chiroli, Daiane Maria & Neiva de Figueiredo, João & Rodrigues, Hidelbrando Ferreira, 2020. "The long-haul full-load vehicle routing and truck driver scheduling problem with intermediate stops: An economic impact evaluation of Brazilian policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 36-51.
    2. Arpan Rijal & Marco Bijvank & Asvin Goel & René de Koster, 2021. "Workforce Scheduling with Order-Picking Assignments in Distribution Facilities," Transportation Science, INFORMS, vol. 55(3), pages 725-746, May.
    3. Ostermeier, Manuel, 2024. "The supply of convenience stores: Challenges of short-distance routing within the constraints of working time regulations," European Journal of Operational Research, Elsevier, vol. 314(3), pages 997-1012.
    4. Goel, Asvin, 2018. "Legal aspects in road transport optimization in Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 144-162.
    5. Eskandarzadeh, Saman & Fahimnia, Behnam, 2022. "Rest break policy comparison for heavy vehicle drivers in Australia," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    6. Tilk, Christian & Goel, Asvin, 2020. "Bidirectional labeling for solving vehicle routing and truck driver scheduling problems," European Journal of Operational Research, Elsevier, vol. 283(1), pages 108-124.
    7. Mor, Andrea & Archetti, Claudia & Jabali, Ola & Simonetto, Alberto & Speranza, M. Grazia, 2022. "The Bi-objective Long-haul Transportation Problem on a Road Network," Omega, Elsevier, vol. 106(C).
    8. Daiane Maria Genaro Chiroli & Sérgio Fernando Mayerle & João Neiva Figueiredo, 2022. "Using state-space shortest-path heuristics to solve the long-haul point-to-point vehicle routing and driver scheduling problem subject to hours-of-service regulatory constraints," Journal of Heuristics, Springer, vol. 28(1), pages 23-59, February.
    9. Fangzhou Yan & Huaxin Qiu & Dongya Han, 2023. "Lagrangian Heuristic for Multi-Depot Technician Planning of Product Distribution and Installation with a Lunch Break," Mathematics, MDPI, vol. 11(3), pages 1-22, January.
    10. Stefan Faldum & Timo Gschwind & Stefan Irnich, 2023. "Subset-Row Inequalities and Unreachability in Path-based Formulations for Routing and Scheduling Problems," Working Papers 2310, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    11. Chi Feng & Zhenyu Mei, 2023. "Optimization of Shared Autonomous Vehicles Routing Problem: From the View of Parking," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    12. Christian Tilk & Asvin Goel, 2019. "Bidirectional labeling for solving vehicle routing and truck driver scheduling problems," Working Papers 1914, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    13. Vital, Filipe & Ioannou, Petros, 2021. "Scheduling and shortest path for trucks with working hours and parking availability constraints," Transportation Research Part B: Methodological, Elsevier, vol. 148(C), pages 1-37.
    14. Sartori, Carlo S. & Smet, Pieter & Vanden Berghe, Greet, 2022. "Scheduling truck drivers with interdependent routes under European Union regulations," European Journal of Operational Research, Elsevier, vol. 298(1), pages 76-88.
    15. Asvin Goel & Thibaut Vidal & Adrianus Leendert Kok, 2021. "To team up or not: single versus team driving in European road freight transport," Flexible Services and Manufacturing Journal, Springer, vol. 33(4), pages 879-913, December.

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