Selective Maintenance Optimization of a Multi-component System based on Simulated Annealing Algorithm

被引:8
|
作者
Tambe, Pravin P. [1 ]
机构
[1] Indian Inst Management, Pudukottai Main Rd, Tiruchirappalli 620024, India
关键词
Selective Maintenance; Multi component system; Maintenance scheduling; Simulated Annealing; MULTISTATE SYSTEMS; QUALITY;
D O I
10.1016/j.procs.2022.01.342
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Maintenance of equipments and machines is an essential part of the industrial function, and an effective maintenance strategy can significantly contribute by adding value to the production activities. This paper presents a selective maintenance decision modeling approach for a multi-component system. A selective maintenance decision model for a manufacturing equipment to meet the required availability and completed in the available time window is presented. The maintenance decision on maintenance actions namely, repair, replace or do-nothing for the components, is considered. The objective function is to minimize the total cost of maintenance decision. The solution procedure for the model is the simulated annealing algorithm. Finally, a numerical example is presented to show the applicability of the model. (C) 2022 The Authors. Published by Elsevier B. V.
引用
收藏
页码:1412 / 1421
页数:10
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