Maintenance decision-making method for manufacturing system based on cost and arithmetic reduction of intensity model

被引：0

作者：

刘繁茂 ^{[1
]}

朱海平 ^{[2
]}

刘伯兴 ^{[2
]}

机构：

[1] Hunan Provincial Key Laboratory of Mechanical Equipment Health Maintenance,Hunan University of Science and Technology

[2] State Key Laboratory of Digital Manufacturing Equipment & Technology(Huazhong University of Science and Technology)

来源：

Journal of Central South University | 2013年 / 20卷 / 06期

关键词：

selective maintenance; preventive maintenance; arithmetic reduction of intensity model; hybrid genetic algorithm;

D O I：

暂无

中图分类号：

U468 [汽车制造厂];

学科分类号：

080204 ; 082304 ;

摘要：

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.

引用

页码：1559 / 1571

页数：13

共 3 条

[1] Machining conditions-based preventive maintenance [J].

Akturk, M. Selim ;

Gurel, Sinan .

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2007, 45 (08) :1725-1743

[2]

A review of multi-component maintenance models with economic dependence.[J] . Rommert Dekker,Ralph E. Wildeman,Frank A. Duyn Schouten. Math. Meth. of OR . 1997 (3)

[3]

Optimal Periodic Preventive Maintenance Policies Based on ARI1 and ARI∞models .2 Kim D.H,Lim J.H. Proceedings of 2nd International Workshop Reliability Testing and Improvement . 2006

← 1 →