A combined tactical and operational framework for maintenance scheduling and routing in offshore wind farms

Chandra Ade Irawan, Djamila Ouelhadj, Iver Bakken Sperstad, Dylan Jones

Research output: Journal PublicationArticlepeer-review

1 Citation (Scopus)


This article proposes a framework for the integration of tactical and operational optimisation models for maintenance scheduling and routing at offshore windfarms. A tactical model is formulated to find the optimal schedule for preventive maintenance over a medium-term planning horizon (one month). The schedule is produced assuming a weather forecast for the entire planning horizon, which in practice will be uncertain. However, for each day, an operational maintenance routing model is solved to obtain optimal vessel routes with a one-day planning horizon, assuming an updated weather forecast for that day. In the operational routing model, the turbines scheduled for preventive maintenance are provided by the tactical scheduling model, whereas the turbines requiring corrective maintenance are provided by information about failures and alarms updated on a daily basis. In the case that the solution generated by the routing model contains turbines that cannot be maintained, the monthly maintenance activities are rescheduled by solving the tactical scheduling model considering the delayed activities. As the routing problem is too time consuming to solve exactly, we propose efficient matheuristic solution methods incorporating Variable Neighbourhood Search and an exact method. Computational experiments have been carried out to assess the performance of the tactical-operational framework.

Original languageEnglish
Pages (from-to)2241-2260
Number of pages20
JournalJournal of the Operational Research Society
Issue number10
Publication statusPublished - 2023


  • Maintenance optimisation
  • matheuristic
  • offshore windfarm
  • routing
  • scheduling

ASJC Scopus subject areas

  • Modelling and Simulation
  • Statistics, Probability and Uncertainty
  • Strategy and Management
  • Management Science and Operations Research


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