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Efficient Ship Crew Scheduling Complying with Resting Hours Regulations

In: Operations Research Proceedings 2016

Author

Listed:
  • Anisa Rizvanolli

    (Fraunhofer Center für Maritime Logistik und Dienstleistungen)

  • Carl Georg Heise

    (Institut für Mathematik, Technische Universität Hamburg)

Abstract

To ensure safe and efficient ship operations a proper schedule of crew tasks is necessary. This encompasses a work plan for the crew, consisting of appropriately qualified seafarers, which also complies with the rules of the Maritime Labour Convention (MLC). The optimized crew schedule can reduce crew costs for shipping companies and also help to avoid expensive ship detentions by port state authorities due to incompliances in the crew’s work plan. A mathematical model is presented for the crew scheduling problem, which is subject to complex rule sets for working and resting hours. In this model the mandatory tasks for safe ship operation and the crew qualification requirements for these tasks represent the main input parameters. They depend on variables such as the ship type and route and may differ substantially. Furthermore, the model considers common watch-keeping patterns and special constraints on mandatory tasks. This problem is formulated as mixed integer linear program. Numerical experiments with different small real data sets from business practice are also presented.

Suggested Citation

  • Anisa Rizvanolli & Carl Georg Heise, 2018. "Efficient Ship Crew Scheduling Complying with Resting Hours Regulations," Operations Research Proceedings, in: Andreas Fink & Armin Fügenschuh & Martin Josef Geiger (ed.), Operations Research Proceedings 2016, pages 535-541, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-55702-1_71
    DOI: 10.1007/978-3-319-55702-1_71
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    Cited by:

    1. 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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