Optimal preventive maintenance intervals of a rolling stock
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概要
- 論文の詳細を見る
In this paper, we deal with a preventive maintenance (PM) scheduling problem for a rolling stock and want to determine PM intervals for all components in the rolling stock optimally. The system availability and life cycle cost are used as optimization criteria and estimated by simulation. A heuristic method and a genetic algorithm (GA) are proposed to find near-optimal solutions that minimize the system life cycle cost and satisfy the required system availability. Numerical examples are also studied to compare two proposed methods and investigate the effect of model parameters to optimal solutions.
- 日本信頼性学会の論文
- 2013-11-01
著者
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Yun Won
Department of Industrial Engineering, Pusan National University
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Yun Won
Department Of Industrial Engineering Pusan National University
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Han Young
Department of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon 440-746, Korea
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PARK Goeun
Department of Industrial Engineering, Pusan National University
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