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Modelling crew scheduling in offshore supply vessels

Author

Listed:
  • Alex Leggate
  • Seda Sucu
  • Kerem Akartunalı
  • Robert van der Meer

Abstract

Crew scheduling problems have been widely studied in various transportation sectors, such as airlines, railways, and urban buses. However to date it appears that application of these problems in sea transport has been very limited. In this paper, we explore key differences between various transport settings, and propose mixed-integer programming formulations for both the crew scheduling and re-scheduling problems for a company operating a fleet of offshore supply vessels (OSVs) on a global scale. Computational results on an extensive set of problems show that our proposed models are practically applicable to generate real-time solutions. We also present a thorough statistical analysis of key problem parameters, and share insights regarding their impacts.

Suggested Citation

  • Alex Leggate & Seda Sucu & Kerem Akartunalı & Robert van der Meer, 2018. "Modelling crew scheduling in offshore supply vessels," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(6), pages 959-970, June.
    • Handle: RePEc:taf:tjorxx:v:69:y:2018:i:6:p:959-970
    DOI: 10.1080/01605682.2017.1390531
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    Cited by:

    1. Xizi Qiao & Ying Yang & King-Wah Pang & Yong Jin & Shuaian Wang, 2024. "Ship Selection and Inspection Scheduling in Inland Waterway Transport," Mathematics, MDPI, vol. 12(15), pages 1-23, July.
    2. Xizi Qiao & Ying Yang & Yu Guo & Yong Jin & Shuaian Wang, 2024. "Optimal Routing and Scheduling of Flag State Control Officers in Maritime Transportation," Mathematics, MDPI, vol. 12(11), pages 1-23, May.
    3. Daniel Rippel & Fatemeh Abasian Foroushani & Michael Lütjen & Michael Freitag, 2021. "A Crew Scheduling Model to Incrementally Optimize Workforce Assignments for Offshore Wind Farm Constructions," Energies, MDPI, vol. 14(21), pages 1-21, October.

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