Maintenance decision-making method for manufacturing system based on cost and arithmetic reduction of intensity model
来源期刊：中南大学学报(英文版)2013年第6期
论文作者：LIU Fan-mao(刘繁茂) ZHU Hai-ping(朱海平) LIU Bo-xing(刘伯兴)
文章页码：1559 - 1571
Key words：selective maintenance; preventive maintenance; arithmetic reduction of intensity model; hybrid genetic algorithm
Abstract: A cost-based selective maintenance decision-making method was presented. The purpose of this method was to find an optimal choice of maintenance actions to be performed on a selected group of machines for manufacturing systems. The arithmetic reduction of intensity model was introduced to describe the influence on machine failure intensity by different maintenance actions (preventive maintenance, minimal repair and overhaul). In the meantime, a resolution algorithm combining the greedy heuristic rules with genetic algorithm was provided. Finally, a case study of the maintenance decision-making problem of automobile workshop was given. Furthermore, the case study demonstrates the practicability of this method.
LIU Fan-mao(刘繁茂)1, ZHU Hai-ping(朱海平)2, LIU Bo-xing(刘伯兴)2
(1. Hunan Provincial Key Laboratory of Mechanical Equipment Health Maintenance,Hunan University of Science and Technology, Xiangtan 411201, China;2. State Key Laboratory of Digital Manufacturing Equipment & Technology(Huazhong University of Science and Technology), Wuhan 430074, China)
Abstract:A cost-based selective maintenance decision-making method was presented. The purpose of this method was to find an optimal choice of maintenance actions to be performed on a selected group of machines for manufacturing systems. The arithmetic reduction of intensity model was introduced to describe the influence on machine failure intensity by different maintenance actions (preventive maintenance, minimal repair and overhaul). In the meantime, a resolution algorithm combining the greedy heuristic rules with genetic algorithm was provided. Finally, a case study of the maintenance decision-making problem of automobile workshop was given. Furthermore, the case study demonstrates the practicability of this method.
Key words:selective maintenance; preventive maintenance; arithmetic reduction of intensity model; hybrid genetic algorithm
