A knowledge management system for series-parallel availability optimization and design

Ying Shen Juang, Shui Shun Lin, Hsing Pei Kao

研究成果: 雜誌貢獻期刊論文同行評審

90 引文 斯高帕斯(Scopus)

摘要

System availability is an important subject in the design field of industrial system as the system structure becomes more complicated. While improving the system's reliability, the cost is also on the upswing. The availability is increased by a redundancy system. Redundancy Allocation Problem (RAP) of a series-parallel system is traditionally resolved by experienced system designers. We proposed a genetic algorithm based optimization model to improve the design efficiency. The objective is to determine the most economical policy of components' mean-time-between-failure (MTBF) and mean time-to-repair (MTTR). We also developed a knowledge-based interactive decision support system to assist the designers set up and to store component parameters during the intact design process of repairable series-parallel system.

原文???core.languages.en_GB???
頁(從 - 到)181-193
頁數13
期刊Expert Systems with Applications
34
發行號1
DOIs
出版狀態已出版 - 1月 2008

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