Optimisation of Preventive Maintenance Regime and Spare Part Inventory based on Failure Mode System Modelling

Author:

Alamri Theyab O.1ORCID,Mo John P.T.1

Affiliation:

1. RMIT University

Abstract

Abstract Preventive maintenance schedules are increasingly important in today's complex and diverse production systems as they help to ensure the continuous operation of systems and reduce overall maintenance costs. This paper presents a novel method for designing a preventive maintenance schedule and spare parts inventory based on failure modes for complex systems with multiple components, using the Failure Modes and Effects Analysis (FMEA) method. The objective is to ensure the continuity of system outputs by modeling subsystems and components as parallel and series arrangements, and using a genetic algorithm to determine the optimal replacement intervals and spare parts inventory based on failure modes. In addition to ensuring the continuity of production outputs during maintenance activities, the approach is also useful in reducing system maintenance costs and increasing system reliability. The proposed approach is applied to a packaging system, and the effects of changing lead time, preventive replacement intervals, and production lost costs on the optimal policy are also examined. The proposed approach is expected to improve system reliability, reduce maintenance costs, and be applicable to any type of complex system at any stage of its development.

Publisher

Research Square Platform LLC

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Maintenance Resources Optimization Using Pareto Analysis;International Journal of Manufacturing, Materials, and Mechanical Engineering;2024-08-29

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3