Joint optimization of quality control and maintenance policy for a production system with quality-dependent failures

IF 7.5 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Expert Systems with Applications Pub Date : 2025-02-14 DOI:10.1016/j.eswa.2025.126800
Jingjing Wang , Lingyun Luo , Guoqing Mu , Yingying Ma , Chao Ni
{"title":"Joint optimization of quality control and maintenance policy for a production system with quality-dependent failures","authors":"Jingjing Wang ,&nbsp;Lingyun Luo ,&nbsp;Guoqing Mu ,&nbsp;Yingying Ma ,&nbsp;Chao Ni","doi":"10.1016/j.eswa.2025.126800","DOIUrl":null,"url":null,"abstract":"<div><div>A machine is either subject to hard failure or soft failure, while quality-dependent failure is usually ignored in production systems. However, in practice, non-conforming products generally accelerate the degradation process of production systems. To fill these gaps, this paper formulated an integrated model of the optimal quality control policy and maintenance policies under the quality-dependent failures for production systems. Since the severe degradation of product machines directly impacts the non-conforming rate, effective preventive and opportunistic maintenance actions are necessary. Moreover, the production system can timely be corrected from an out-of-control state to a control state after adopting a minimal repair. An opportunity is created based on the buffer inventory level instead of the machine degradation level, which is different from previous research. The production machine can be opportunistically maintained at the point of maximum inventory. The renewal process is utilized to derive the integrated optimization model, and the collaboration relationship among production, quality control and maintenance management problems is taken into consideration. The system’s total cost rate is minimized by optimizing the preventive maintenance threshold and sampling control coefficients. Numerical examples are given to illustrate the priority of the proposed model and the optimal results are obtained by differential evaluation algorithm, which provides a more meaningful perspective for managers.</div></div>","PeriodicalId":50461,"journal":{"name":"Expert Systems with Applications","volume":"272 ","pages":"Article 126800"},"PeriodicalIF":7.5000,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Systems with Applications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0957417425004221","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

Abstract

A machine is either subject to hard failure or soft failure, while quality-dependent failure is usually ignored in production systems. However, in practice, non-conforming products generally accelerate the degradation process of production systems. To fill these gaps, this paper formulated an integrated model of the optimal quality control policy and maintenance policies under the quality-dependent failures for production systems. Since the severe degradation of product machines directly impacts the non-conforming rate, effective preventive and opportunistic maintenance actions are necessary. Moreover, the production system can timely be corrected from an out-of-control state to a control state after adopting a minimal repair. An opportunity is created based on the buffer inventory level instead of the machine degradation level, which is different from previous research. The production machine can be opportunistically maintained at the point of maximum inventory. The renewal process is utilized to derive the integrated optimization model, and the collaboration relationship among production, quality control and maintenance management problems is taken into consideration. The system’s total cost rate is minimized by optimizing the preventive maintenance threshold and sampling control coefficients. Numerical examples are given to illustrate the priority of the proposed model and the optimal results are obtained by differential evaluation algorithm, which provides a more meaningful perspective for managers.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
针对存在质量相关故障的生产系统,联合优化质量控制和维护策略
一台机器要么会发生硬故障,要么会发生软故障,而与质量相关的故障在生产系统中通常被忽略。然而,在实践中,不合格品通常会加速生产系统的退化过程。为了填补这些空白,本文建立了生产系统在质量相关故障下的最优质量控制策略和维修策略的集成模型。由于产品机器的严重退化直接影响不合格率,因此有效的预防和机会性维护措施是必要的。此外,通过最小的修复,生产系统可以及时从失控状态纠正到控制状态。不同于以往的研究,该方法基于缓冲库存水平而不是机器退化水平来创造机会。生产机器可以机会主义地保持在最大库存点。利用更新过程导出集成优化模型,并考虑生产、质量控制和维修管理问题之间的协同关系。通过优化预防性维护阈值和采样控制系数,使系统总成本率最小化。数值算例说明了所提模型的优先性,并通过微分评价算法得到了最优结果,为管理者提供了更有意义的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Expert Systems with Applications
Expert Systems with Applications 工程技术-工程:电子与电气
CiteScore
13.80
自引率
10.60%
发文量
2045
审稿时长
8.7 months
期刊介绍: Expert Systems With Applications is an international journal dedicated to the exchange of information on expert and intelligent systems used globally in industry, government, and universities. The journal emphasizes original papers covering the design, development, testing, implementation, and management of these systems, offering practical guidelines. It spans various sectors such as finance, engineering, marketing, law, project management, information management, medicine, and more. The journal also welcomes papers on multi-agent systems, knowledge management, neural networks, knowledge discovery, data mining, and other related areas, excluding applications to military/defense systems.
期刊最新文献
Editorial Board Three decades of differential evolution: a bibliometric analysis (1995-2025) Escaping from saddle points with perturbed gradient estimation An intelligent approach to maritime autonomous surface ship performance evaluation Knowledge-guided hyper-heuristic evolutionary algorithm for large-scale Boolean network inference
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1