An integrated framework for maintenance scheduling and routing at an offshore wind farm
- An integrated framework for maintenance scheduling and routing at an offshore wind farm
- Seg, 10. Abril 2017, 14:00 h
- ICMC - São Carlos - São Carlos, São Paulo
Local: sala 4-001
The paper proposes a framework for the integration of tactical and operational optimisation models for the dynamic maintenance scheduling and routing at an offshore wind farm. The tactical optimisation Maintenance Scheduling Model (MSM) finds the optimal schedule for preventive maintenance for a medium-term (monthly) period. The operational Maintenance Routing Model (MRM) is a daily model-based optimisation which considers both preventive maintenance and corrective maintenance tasks. In the MRM, the turbines that need preventive maintenance tasks are determined by MSM whereas the corrective maintenance ones are based on updated information on a daily basis. The MRM aims to generate the optimal routes for the crew transfer vessels to service the turbines along with the number of technicians required for each vessel. In case that in the solution generated by MRM there are some turbines that cannot be maintained due to lack of resources, the monthly maintenance activities are rescheduled by solving the MSM considering the delayed turbines. We develop a mixed integer linear program (MILP) for each model (MSM and MRM) which considers several constraints such as the availability of vessels, the specification of the vessel, and the number of technicians available at the O&M base. The MRM needs to be solved quickly as this model deals with daily maintenance activities. Therefore, we also propose two alternative solution methods for this problem which are based on Dantzig-Wolfe decomposition method and matheuristic approach. The computational analysis reveals that the proposed solution methods produce competitive solutions compared to the exact method.
Key words: Maintenance scheduling, routing problem, offshore windfarm.
Chandra Irawan has been a research fellow in the Department of Mathematics at the University of Portsmouth involved in the Leanwind Project (EU 7th Framework Programme project) since September 2014. He holds a PhD in Management Science from University of Kent UK in 2014. He got his MSc and BSc in Industrial Engineering from Bandung Institute of Technology (ITB) Indonesia. His main Research Interests are in facility location problems, offshore wind farm, and meta-heuristic methods. He has published papers in various international journals such as The European Journal of Operational Research, Computers & Operations Research, Journal of Heuristics, Journal of Global Optimization, and Renewable Energy.
- Av. Trab. São-Carlense
- São Carlos
- São Paulo