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The document identifies a research gap in Condition-Based Spare Parts Inventory Management for Wind Turbines using the NSGA-II algorithm, noting that existing studies do not integrate maintenance information with inventory control. It proposes developing a composite mathematical model by combining concepts from related literature due to the lack of direct sources. AI-based tools are utilized to aid in identifying relevant modeling structures and optimization approaches from existing studies.

Author

attiq

Language

EN