As demonstrated through case studies, the approach may help to find a range of cost-efficient fleet compositions. The approach applies an Artificial Bee Colony algorithm-based optimization procedure. The approach considers the combined effect of the expected costs of accidental events, the versatility of individual support vessels, and ice management. The approach studies the main types of duties related to Arctic offshore drillings: supply, towing, anchor handling, standby, oil spill response, firefighting, and ice management. This article presents an optimization-based approach for sizing and composition of an Arctic offshore drilling support fleet considering cost-efficiency.
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