GA Based Modelling and Optimizing Combination of Multi-Component System Renewals

被引：0

作者：

Bai, Yong-Sheng ^{[1
]}

Gu, Hong-Qiang ^{[1
]}

Zhao, Jian-Min ^{[1
]}

Li, Ji ^{[1
]}

机构：

[1] Mech Engn Coll, Dept Engn Management, Shijiazhuang, Peoples R China

来源：

PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (QR2MSE), VOLS I-IV | 2013年

关键词：

multi-component system; group maintenance; periodic replacement; genetic algorithm; REPLACEMENT POLICY; BLOCK-REPLACEMENT; MAINTENANCE;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

For the optimization of multi-component system preventive maintenance, the group maintenance strategy was adopted to model and optimize periodic replacement tasks. Based on the analysis of system maintenance cost structure and composition, the mathematical models were established for expected maintenance cost per unit time. And a genetic algorithm based approach was developed to search for the optimal solution, by which the whole system maintenance cost can be minimized. Finally, a numerical example was illustrated to prove the applicability and validity of the approach.

引用

页码：1627 / 1630

页数：4

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