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Vehicle and crew scheduling: solving large real-world instances with an integrated approach

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  • de Groot, S.W.
  • Huisman, D.

Abstract

In this paper we discuss several methods to solve large real-world instances of the vehicle and crew scheduling problem. Although, there has been an increased attention to integrated approaches for solving such problems in the literature, currently only small or medium-sized instances can be solved by such approaches. Therefore, large instances should be split into several smaller ones, which can be solved by an integrated approach, or the sequential approach, i.e. first vehicle scheduling and afterwards crew scheduling, is applied. In this paper we compare both approaches, where we consider different ways of splitting an instance varying from very simple rules to more sophisticated ones. Those ways are extensively tested by computational experiments on real-world data provided by the largest Dutch bus company.

Suggested Citation

  • de Groot, S.W. & Huisman, D., 2004. "Vehicle and crew scheduling: solving large real-world instances with an integrated approach," Econometric Institute Research Papers EI 2004-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    • Handle: RePEc:ems:eureir:1204
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    References listed on IDEAS

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    1. Huisman, D. & Freling, R. & Wagelmans, A.P.M., 2003. "Multiple-Depot Integrated Vehicle and Crew Scheduling," Econometric Institute Research Papers EI 2003-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Freling, R. & Huisman, D. & Wagelmans, A.P.M., 2000. "Models and algorithms for Integration of Vehicle and Crew Scheduling," ERIM Report Series Research in Management ERS-2000-14-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Huisman, D. & Freling, R. & Wagelmans, A.P.M., 2001. "A dynamic approach to vehicle scheduling," ERIM Report Series Research in Management ERS-2001-35-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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    1. Bach, L. & Dollevoet, T.A.B. & Huisman, D., 2014. "Integrating Timetabling and Crew," Econometric Institute Research Papers EI 2014-03, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Lukas Bach & Twan Dollevoet & Dennis Huisman, 2016. "Integrating Timetabling and Crew Scheduling at a Freight Railway Operator," Transportation Science, INFORMS, vol. 50(3), pages 878-891, August.
    3. Boyer, Vincent & Ibarra-Rojas, Omar J. & Ríos-Solís, Yasmín Á., 2018. "Vehicle and Crew Scheduling for Flexible Bus Transportation Systems," Transportation Research Part B: Methodological, Elsevier, vol. 112(C), pages 216-229.
    4. Ibarra-Rojas, O.J. & Delgado, F. & Giesen, R. & Muñoz, J.C., 2015. "Planning, operation, and control of bus transport systems: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 77(C), pages 38-75.

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