TY - GEN
T1 - A model for optimal fleet composition of vessels for offshore wind farm maintenance
AU - Gutierrez-Alcoba, Alejandro
AU - Ortega, Gloria
AU - Hendrix, Eligius M. T.
AU - Halvorsen-Weare, Elin E.
AU - Haugland, Dag
PY - 2017/6/9
Y1 - 2017/6/9
N2 - We present a discrete optimisation model that chooses an optimal fleet of vessels to support maintenance operations at Offshore Wind Farms (OFWs). The model is presented as a bi-level problem. On the first (tactical) level, decisions are made on the fleet composition for a certain time horizon. On the second (operational) level, the fleet is used to optimise the schedule of operations needed at the OWF, given events of failures and weather conditions.
AB - We present a discrete optimisation model that chooses an optimal fleet of vessels to support maintenance operations at Offshore Wind Farms (OFWs). The model is presented as a bi-level problem. On the first (tactical) level, decisions are made on the fleet composition for a certain time horizon. On the second (operational) level, the fleet is used to optimise the schedule of operations needed at the OWF, given events of failures and weather conditions.
KW - offshore wind farms
KW - decision support system
KW - fleet composition
KW - maintenance planning
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85027363450&partnerID=MN8TOARS
UR - https://v2.sherpa.ac.uk/id/publication/12518
U2 - 10.1016/j.procs.2017.05.230
DO - 10.1016/j.procs.2017.05.230
M3 - Conference contribution
T3 - Procedia Computer Science
SP - 1512
EP - 1521
BT - International Conference on Computational Science, ICCS 2017, 12-14 June 2017, Zurich, Switzerland
A2 - Koumoutsakos, Petros
A2 - Lees, Michael
A2 - Krzhizhanovskaya, Valeria
A2 - Dongarra, Jack
A2 - Sloot, Peter
ER -