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A Crew Scheduling Model to Incrementally Optimize Workforce Assignments for Offshore Wind Farm Constructions

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  • Daniel Rippel

    (BIBA—Bremer Institut für Produktion und Logistik GmbH, University of Bremen, Hochschulring 20, 28359 Bremen, Germany
    Faculty of Production Engineering, University of Bremen, Badgasteiner Str. 1, 28359 Bremen, Germany)

  • Fatemeh Abasian Foroushani

    (Faculty of Production Engineering, University of Bremen, Badgasteiner Str. 1, 28359 Bremen, Germany)

  • Michael Lütjen

    (BIBA—Bremer Institut für Produktion und Logistik GmbH, University of Bremen, Hochschulring 20, 28359 Bremen, Germany)

  • Michael Freitag

    (BIBA—Bremer Institut für Produktion und Logistik GmbH, University of Bremen, Hochschulring 20, 28359 Bremen, Germany
    Faculty of Production Engineering, University of Bremen, Badgasteiner Str. 1, 28359 Bremen, Germany)

Abstract

In the literature, different authors attribute between 15% to 30% of a wind farm’s costs to logistics during the installation, e.g., for vessels or personnel. Currently, there exist only a few approaches for crew scheduling in the offshore area. However, current approaches only satisfy subsets of the offshore construction area’s specific terms and conditions. This article first presents a literature review to identify different constraints imposed on crew scheduling for offshore installations. Afterward, it presents a new Mixed-Integer Linear Model that satisfies these crew scheduling constraints and couples it with a scheduling approach using a Model Predictive Control scheme to include weather dynamics. The evaluation of this model shows reliable scheduling of persons/teams given weather-dependent operations. Compared to a conventionally assumed full staffing of vessels and the port, the model decreases the required crews by approximately 50%. Moreover, the proposed model shows good runtime behavior, obtaining optimal solutions for realistic scenarios in under an hour.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:6963-:d:662860
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    References listed on IDEAS

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    1. Ursavas, Evrim, 2017. "A benders decomposition approach for solving the offshore wind farm installation planning at the North Sea," European Journal of Operational Research, Elsevier, vol. 258(2), pages 703-714.
    2. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    3. 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.
    4. 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.
    5. 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.
    6. Chandra Ade Irawan & Graham Wall & Dylan Jones, 2019. "An optimisation model for scheduling the decommissioning of an offshore wind farm," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(2), pages 513-548, June.
    7. Breton, Simon-Philippe & Moe, Geir, 2009. "Status, plans and technologies for offshore wind turbines in Europe and North America," Renewable Energy, Elsevier, vol. 34(3), pages 646-654.
    8. Barlow, Euan & Tezcaner Öztürk, Diclehan & Revie, Matthew & Akartunalı, Kerem & Day, Alexander H. & Boulougouris, Evangelos, 2018. "A mixed-method optimisation and simulation framework for supporting logistical decisions during offshore wind farm installations," European Journal of Operational Research, Elsevier, vol. 264(3), pages 894-906.
    9. Kerkhove, L.-P. & Vanhoucke, M., 2017. "Optimised scheduling for weather sensitive offshore construction projects," Omega, Elsevier, vol. 66(PA), pages 58-78.
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