A mixed-method optimisation and simulation framework for supporting logistical decisions during offshore wind farm installations

DOI10.1016/j.ejor.2017.05.043zbMath1375.90032OpenAlexW2620334146MaRDI QIDQ1681411

Matthew Revie, Alexander H. Day, Kerem Akartunalı, Evangelos Boulougouris, Euan Barlow, Diclehan Tezcaner Öztürk

Publication date: 23 November 2017

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://strathprints.strath.ac.uk/60926/

zbMATH Keywords

mixed methodsOR in energyaction researchinstallation logisticsoffshore wind farms

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

Related Items (3)

A mixed-method optimisation and simulation framework for supporting logistical decisions during offshore wind farm installations ⋮ Models for pessimistic or optimistic decisions under different uncertain scenarios ⋮ Optimizing vessel fleet size and mix to support maintenance operations at offshore wind farms

Cites Work

• A simulation study of the fleet sizing problem arising in offshore anchor handling operations
• A mixed-method optimisation and simulation framework for supporting logistical decisions during offshore wind farm installations
• Project scheduling under uncertainty: survey and research potentials
• The Price of Robustness

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