Optimizing Maintenance Policies based on Discrete Event Simulation and the OCBA Mechanism

被引:0
作者
Cao, Dingzhou [1 ]
Sun, Yu
Guo, Huairui [1 ]
机构
[1] ReliaSoft Corp, Tucson, AZ 85710 USA
来源
59TH ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS) | 2013年
关键词
Maintenance Policies; Discrete Event Simulation; Optimal Computing Budget Allocation; Simulation Optimization; GENETIC ALGORITHMS; OPTIMIZATION;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In an age of high competition, strict safety and environmental regulations, maintenance which acted as an effective tool to improve system availability so as to increase profit margin has played an important role in modern industry. In this paper, the system costs (availability) are estimated by the discrete event simulation technique and the Optimal Computing Budget Allocation (OCBA) mechanism is implemented to try to find the optimal maintenance policies for the system. The OCBA is an effective algorithm that can identify the optimal maintenance policies while significantly improving the simulation efficiency. The main purpose of this article is to validate the efficiency of this method in the application of maintenance policy optimization. An example taken from literature is presented to show the effectiveness of this method.
引用
收藏
页数:6
相关论文
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