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J. Mar. Sci. Eng. 2017, 5(1), 11;

Scheduling of Maintenance Tasks and Routing of a Joint Vessel Fleet for Multiple Offshore Wind Farms

Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology, Høgskoleringen 1, 7491 Trondheim, Norway
Faculty of Logistics, Molde University College, Britvegen 2, 6410 Molde, Norway
Author to whom correspondence should be addressed.
Received: 28 October 2016 / Accepted: 6 February 2017 / Published: 10 February 2017
(This article belongs to the Special Issue Offshore Wind Energy)
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Maintenance costs related to offshore wind farms are severely limiting their potential for being profitable. This paper proposes a new mathematical model that considers how maintenance tasks should be scheduled and performed by technicians transported using a fleet of dedicated vessels. The model is novel in its combination of modelling several work shifts and including vessels that can stay offshore for several shifts, while handling large maintenance tasks and accurate calculation of downtime costs. Simulation is used to evaluate the performance of the model in its pure form, as well as when solved heuristically using a rolling horizon heuristic. The results indicate that the end-of-horizon effects of the mathematical formulation are handled effectively. Computational experiments also illustrate how the mathematical model coupled with simulation can be used to evaluate strategic decisions regarding the composition of a vessel fleet used to execute maintenance tasks. View Full-Text
Keywords: vehicle routing; multi-period; dynamic; mathematical programming; optimization vehicle routing; multi-period; dynamic; mathematical programming; optimization

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Raknes, N.T.; Ødeskaug, K.; Stålhane, M.; Hvattum, L.M. Scheduling of Maintenance Tasks and Routing of a Joint Vessel Fleet for Multiple Offshore Wind Farms. J. Mar. Sci. Eng. 2017, 5, 11.

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