2021
DOI: 10.1051/e3sconf/202125302016
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Multi objective optimization of ship spare parts maintenance based on Improved Genetic Algorithm

Abstract: For ship equipment turnover spare parts, if the maintenance interval is too long, the safety and working ability will be reduced; if frequent maintenance is performed, it will cause much waste. Therefore, it is necessary to determine the appropriate maintenance interval for resource optimization. The article analyzes the factors of turnover spare parts maintenance resource optimization. It establishes an equipment parts maintenance time resource optimization model based on maintenance theory and multi-objectiv… Show more

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Cited by 2 publications
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“…4 [38] 2021 software framework to optimize arctic offshore support vessels for cost-and eco-efficiency using the Artificial Bee Colony algorithm 5 [14] 2021 MCDM framework for the evaluation pf the main risks related to maintenance interventions. 6 [40] 2021 maintenance time resource optimization of ship equipment parts based on maintenance theory and multi-objective optimization decision-making method. 7 [44] 2021 semi-qualitative model combining AHP and PROMETHEE methods to support maintenance strategy selection for critical shipboard machinery systems in the engine room of ships.…”
Section: No Reference Yearmentioning
confidence: 99%
“…4 [38] 2021 software framework to optimize arctic offshore support vessels for cost-and eco-efficiency using the Artificial Bee Colony algorithm 5 [14] 2021 MCDM framework for the evaluation pf the main risks related to maintenance interventions. 6 [40] 2021 maintenance time resource optimization of ship equipment parts based on maintenance theory and multi-objective optimization decision-making method. 7 [44] 2021 semi-qualitative model combining AHP and PROMETHEE methods to support maintenance strategy selection for critical shipboard machinery systems in the engine room of ships.…”
Section: No Reference Yearmentioning
confidence: 99%