文章基本信息

标题：Maintenance policy selection of N-component repairable system using genetic algorithm
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作者：Nishit Kumar Srivastava ; Pratyay Kuila ; Namrata Chatterjee 等
期刊名称：Serbian Journal of Management
印刷版ISSN：1452-4864
出版年度：2022
卷号：17
期号：1
页码：51-60
DOI：10.5937/sjm17-28807
语种：English
出版社：University in Belgrade
摘要：A typical manufacturing system consists of a large number of repairable components/ machines which age with time and require maintenance. This paper proposes a novel maintenance policy selection method using genetic algorithm. Where, maintenance problem is formulated for n- component repairable system to minimize the total maintenance cost. The various maintenance policies and repairable components are represented in the form of chromosomes, initially various chromosomes are randomly generated which are then assessed and selected using fitness value and then crossover and mutation function is performed to obtain a better chromosome. Several iterations are performed till the desired results is achieved. The proposed algorithm is further explained and validated through an illustrative example.