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A Decision Support System for Crew Planning in Passenger Transportation Using a Flexible Branch-and-Price Algorithm

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  • Richard Freling
  • Ramon Lentink
  • Albert Wagelmans

Abstract

This paper discusses a decision support system for airline and railway crew planning. The system is a state-of-the-art branch-and-price solver that is used for crew scheduling and crew rostering. Since it is far from trivial to build such a system from the information provided in the existing literature, technical issues about the system and its implementation are covered in more detail. We also discuss several applications. In particular, we focus on a specific aircrew rostering application. The computational results contain an interesting comparison of results obtained with the approach in which crew scheduling is carried out before crew rostering, and an approach in which these two planning problems are solved in an integrated manner. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Richard Freling & Ramon Lentink & Albert Wagelmans, 2004. "A Decision Support System for Crew Planning in Passenger Transportation Using a Flexible Branch-and-Price Algorithm," Annals of Operations Research, Springer, vol. 127(1), pages 203-222, March.
    • Handle: RePEc:spr:annopr:v:127:y:2004:i:1:p:203-222:10.1023/b:anor.0000019090.39650.32
    DOI: 10.1023/B:ANOR.0000019090.39650.32
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    Citations

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    Cited by:

    1. Panta Lučić & Dušan Teodorović, 2007. "Metaheuristics approach to the aircrew rostering problem," Annals of Operations Research, Springer, vol. 155(1), pages 311-338, November.
    2. Jorge, Diana & Antunes Ribeiro, Nuno & Pais Antunes, António, 2021. "Towards a decision-support tool for airport slot allocation: Application to Guarulhos (Sao Paulo, Brazil)," Journal of Air Transport Management, Elsevier, vol. 93(C).
    3. Mesquita, Marta & Moz, Margarida & Paias, Ana & Pato, Margarida, 2013. "A decomposition approach for the integrated vehicle-crew-roster problem with days-off pattern," European Journal of Operational Research, Elsevier, vol. 229(2), pages 318-331.
    4. Sebastian Ruther & Natashia Boland & Faramroze G. Engineer & Ian Evans, 2017. "Integrated Aircraft Routing, Crew Pairing, and Tail Assignment: Branch-and-Price with Many Pricing Problems," Transportation Science, INFORMS, vol. 51(1), pages 177-195, February.
    5. Jütte, Silke & Thonemann, Ulrich W., 2012. "Divide-and-price: A decomposition algorithm for solving large railway crew scheduling problems," European Journal of Operational Research, Elsevier, vol. 219(2), pages 214-223.
    6. 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.
    7. Fuentes, Manuel & Cadarso, Luis & Marín, Ángel, 2019. "A hybrid model for crew scheduling in rail rapid transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 248-265.
    8. Silke Jütte & Marc Albers & Ulrich W. Thonemann & Knut Haase, 2011. "Optimizing Railway Crew Scheduling at DB Schenker," Interfaces, INFORMS, vol. 41(2), pages 109-122, April.
    9. Thomas Breugem & Twan Dollevoet & Dennis Huisman, 2022. "Is Equality Always Desirable? Analyzing the Trade-Off Between Fairness and Attractiveness in Crew Rostering," Management Science, INFORMS, vol. 68(4), pages 2619-2641, April.
    10. Vaidyanathan, Balachandran, 2007. "Multi-Commodity Network Flow Based Approaches for the Railroad Crew Scheduling Problem," 48th Annual Transportation Research Forum, Boston, Massachusetts, March 15-17, 2007 207928, Transportation Research Forum.
    11. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    12. Nishi, Tatsushi & Sugiyama, Taichi & Inuiguchi, Masahiro, 2014. "Two-level decomposition algorithm for crew rostering problems with fair working condition," European Journal of Operational Research, Elsevier, vol. 237(2), pages 465-473.
    13. Zeng, Amy Z. & Durach, Christian F. & Fang, Yan, 2012. "Collaboration decisions on disruption recovery service in urban public tram systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 578-590.
    14. Heil, Julia & Hoffmann, Kirsten & Buscher, Udo, 2020. "Railway crew scheduling: Models, methods and applications," European Journal of Operational Research, Elsevier, vol. 283(2), pages 405-425.
    15. Margarida Moz & Ana Respício & Margarida Vaz Pato, 2009. "Bi-objective evolutionary heuristics for bus driver rostering," Public Transport, Springer, vol. 1(3), pages 189-210, August.
    16. Breugem, T. & Dollevoet, T.A.B. & Huisman, D., 2017. "Is Equality always desirable?," Econometric Institute Research Papers EI2017-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

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