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Vehicle Routing and Staffing for Sedan Service

Author

Listed:
  • Oktay Günlük

    (IBM Research, Yorktown Heights, New York 10598)

  • Tracy Kimbrel

    (IBM Research, Yorktown Heights, New York 10598)

  • Laszlo Ladanyi

    (IBM Research, Yorktown Heights, New York 10598)

  • Baruch Schieber

    (IBM Research, Yorktown Heights, New York 10598)

  • Gregory B. Sorkin

    (IBM Research, Yorktown Heights, New York 10598)

Abstract

We present the optimization component of a decision support system developed for a sedan service provider. The system assists supervisors and dispatchers in scheduling driver shifts and routing the fleet throughout the day to satisfy customer demands within tight time windows. We periodically take a snapshot of the dynamic data and formulate an integer program, which we solve to near optimality using column generation. Although the data snapshot is stale by the time a solution is computed, we are able to solve the integer program quickly enough that the solution can be adopted after minor modifications are made by a fast local-search heuristic. The system described in this paper is currently in use and has improved the provider’s productivity significantly.

Suggested Citation

  • Oktay Günlük & Tracy Kimbrel & Laszlo Ladanyi & Baruch Schieber & Gregory B. Sorkin, 2006. "Vehicle Routing and Staffing for Sedan Service," Transportation Science, INFORMS, vol. 40(3), pages 313-326, August.
    • Handle: RePEc:inm:ortrsc:v:40:y:2006:i:3:p:313-326
    DOI: 10.1287/trsc.1050.0122
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    References listed on IDEAS

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    Cited by:

    1. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
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    3. S. Michel & F. Vanderbeck, 2012. "A Column-Generation Based Tactical Planning Method for Inventory Routing," Operations Research, INFORMS, vol. 60(2), pages 382-397, April.
    4. Györgyi, Péter & Kis, Tamás, 2019. "A probabilistic approach to pickup and delivery problems with time window uncertainty," European Journal of Operational Research, Elsevier, vol. 274(3), pages 909-923.
    5. Zhang, Zizhen & Qin, Hu & Wang, Kai & He, Huang & Liu, Tian, 2017. "Manpower allocation and vehicle routing problem in non-emergency ambulance transfer service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 45-59.
    6. Ruslan Sadykov & François Vanderbeck & Artur Pessoa & Issam Tahiri & Eduardo Uchoa, 2019. "Primal Heuristics for Branch and Price: The Assets of Diving Methods," INFORMS Journal on Computing, INFORMS, vol. 31(2), pages 251-267, April.

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