Factors influencing sustainable maintenance in manufacturing industries

IF 1.8 Q3 ENGINEERING, INDUSTRIAL Journal of Quality in Maintenance Engineering Pub Date : 2021-12-10 DOI:10.1108/jqme-05-2021-0038
M. Suresh, R. Dharunanand
{"title":"Factors influencing sustainable maintenance in manufacturing industries","authors":"M. Suresh, R. Dharunanand","doi":"10.1108/jqme-05-2021-0038","DOIUrl":null,"url":null,"abstract":"PurposeThis paper intends to discover, analyze and construct a model that may be used to measure the interactions between major factors which are identified by expert opinion and literature review for sustainable maintenance specific to manufacturing industries using the total interpretive structural modeling (TISM) approach.Design/methodology/approachIn total, 12 factors were acknowledged from the literature review and the opinions of experts from manufacturing industries. Scheduled interviews with the employees were conducted by using the questionnaire which is developed from the identified 12 factors in order to find the interrelationships among these factors. The TISM approach is used for analyzing factors' interrelationships. The Matrice d'Impacts Croises Multiplication Appliques a un Classement (MICMAC) approach is used to identify the key factors which influence sustainable maintenance.FindingsThis paper found 12 factors that have ascendancy over the sustainable maintenance practices in the industry by reviewing the literature and consulting industry experts to realize the linkage between the factors. The results found that availability rate, adopting government policies, training and education are key factors that influence sustainable maintenance.Practical implicationsThe proposed model would be valuable for experts to understand the factors influencing sustainable maintenance in the industry. This model can be used by an organization's maintenance managers to implement sustainable maintenance practices in their plants.Originality/valueThis study analyzes the interrelationship between factors influencing sustainable maintenance in manufacturing industries, which is a new effort in this domain of practice.","PeriodicalId":16938,"journal":{"name":"Journal of Quality in Maintenance Engineering","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Quality in Maintenance Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jqme-05-2021-0038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 4

Abstract

PurposeThis paper intends to discover, analyze and construct a model that may be used to measure the interactions between major factors which are identified by expert opinion and literature review for sustainable maintenance specific to manufacturing industries using the total interpretive structural modeling (TISM) approach.Design/methodology/approachIn total, 12 factors were acknowledged from the literature review and the opinions of experts from manufacturing industries. Scheduled interviews with the employees were conducted by using the questionnaire which is developed from the identified 12 factors in order to find the interrelationships among these factors. The TISM approach is used for analyzing factors' interrelationships. The Matrice d'Impacts Croises Multiplication Appliques a un Classement (MICMAC) approach is used to identify the key factors which influence sustainable maintenance.FindingsThis paper found 12 factors that have ascendancy over the sustainable maintenance practices in the industry by reviewing the literature and consulting industry experts to realize the linkage between the factors. The results found that availability rate, adopting government policies, training and education are key factors that influence sustainable maintenance.Practical implicationsThe proposed model would be valuable for experts to understand the factors influencing sustainable maintenance in the industry. This model can be used by an organization's maintenance managers to implement sustainable maintenance practices in their plants.Originality/valueThis study analyzes the interrelationship between factors influencing sustainable maintenance in manufacturing industries, which is a new effort in this domain of practice.
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
影响制造业可持续维修的因素
目的利用总解释结构模型(total interpretive structural modeling,简称TISM)方法,发现、分析并构建一个模型,用于衡量专家意见和文献综述确定的制造业可持续维护主要因素之间的相互作用。设计/方法/方法从文献综述和制造业专家的意见中共确认了12个因素。为了找到这些因素之间的相互关系,使用从确定的12个因素中开发的问卷对员工进行了定期访谈。TISM方法用于分析各因素之间的相互关系。采用影响矩阵法(matrix d’impacts Croises Multiplication Appliques a Classement, MICMAC)识别影响可持续维护的关键因素。通过查阅文献和咨询行业专家,本文发现了12个对行业可持续维护实践具有优势的因素,实现了这些因素之间的联系。结果发现,可用性、政府政策的采用、培训和教育是影响可持续维护的关键因素。实际意义所提出的模型将有助于专家了解影响行业可持续维护的因素。这个模型可以被组织的维护经理用来在他们的工厂实施可持续的维护实践。原创性/价值本研究分析了影响制造业可持续维护的因素之间的相互关系,是这一实践领域的新尝试。
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
Journal of Quality in Maintenance Engineering
Journal of Quality in Maintenance Engineering Engineering-Safety, Risk, Reliability and Quality
CiteScore
4.00
自引率
13.30%
发文量
24
期刊介绍: This exciting journal looks at maintenance engineering from a positive standpoint, and clarifies its recently elevatedstatus as a highly technical, scientific, and complex field. Typical areas examined include: ■Budget and control ■Equipment management ■Maintenance information systems ■Process capability and maintenance ■Process monitoring techniques ■Reliability-based maintenance ■Replacement and life cycle costs ■TQM and maintenance
期刊最新文献
Performability analysis for the SPVC line system of leaf spring production plant using probabilistic approach A systematic reliability-centred maintenance framework with fuzzy computational integration – a case study of manufacturing process machinery Analysis of asset management difficulties observed in Brazilian firms: a study based on expert survey and fuzzy TOPSIS Air leaks fault detection in maintenance using machine learning An ontology-driven model for hospital equipment maintenance management: a case study
×
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:481959085
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