Towards an Industry 4.0-Based Maintenance Approach in the Manufacturing Processes

J. R. R. García, A. Martinetti, J. M. J. Becker, Sarbjeet Singh, L. V. van Dongen
{"title":"Towards an Industry 4.0-Based Maintenance Approach in the Manufacturing Processes","authors":"J. R. R. García, A. Martinetti, J. M. J. Becker, Sarbjeet Singh, L. V. van Dongen","doi":"10.4018/978-1-5225-7152-0.CH008","DOIUrl":null,"url":null,"abstract":"Maintenance is one of the key application areas of Industry 4.0. Every day, maintenance managers and technicians face the challenge of ensuring maximum machine reliability and availability, while minimizing the utilization of materials consumed by maintenance and repairs. As productivity is pressured to further improve, finding a successful balance between these aspects is becoming increasingly difficult. Therefore, integrating condition-monitoring systems with predictive and prescriptive maintenance principles, a new Industry 4.0-based maintenance can be obtained that enables maintenance engineers to better deal with this challenge. In this context, Maintenance 4.0 expands existing maintenance functions by the integration of Industry 4.0 technologies, like internet of things, cyber physical systems, augmented reality, and 3D printing. This chapter presents the main maintenance areas that are supported and enabled by Industry 4.0 technologies and introduces an Industry 4.0-based predictive maintenance approach for the manufacturing industry.","PeriodicalId":166525,"journal":{"name":"Research Anthology on Cross-Industry Challenges of Industry 4.0","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Anthology on Cross-Industry Challenges of Industry 4.0","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-5225-7152-0.CH008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

Maintenance is one of the key application areas of Industry 4.0. Every day, maintenance managers and technicians face the challenge of ensuring maximum machine reliability and availability, while minimizing the utilization of materials consumed by maintenance and repairs. As productivity is pressured to further improve, finding a successful balance between these aspects is becoming increasingly difficult. Therefore, integrating condition-monitoring systems with predictive and prescriptive maintenance principles, a new Industry 4.0-based maintenance can be obtained that enables maintenance engineers to better deal with this challenge. In this context, Maintenance 4.0 expands existing maintenance functions by the integration of Industry 4.0 technologies, like internet of things, cyber physical systems, augmented reality, and 3D printing. This chapter presents the main maintenance areas that are supported and enabled by Industry 4.0 technologies and introduces an Industry 4.0-based predictive maintenance approach for the manufacturing industry.
在制造过程中实现基于工业4.0的维护方法
维护是工业4.0的关键应用领域之一。每天,维护经理和技术人员都面临着确保机器最大可靠性和可用性的挑战,同时最大限度地减少维护和维修消耗的材料的利用率。随着生产力的进一步提高,在这些方面之间找到一个成功的平衡变得越来越困难。因此,将状态监测系统与预测性和规范性维护原则相结合,可以获得一种基于工业4.0的新型维护方式,使维护工程师能够更好地应对这一挑战。在此背景下,维护4.0通过集成物联网、网络物理系统、增强现实和3D打印等工业4.0技术,扩展了现有的维护功能。本章介绍了工业4.0技术支持和实现的主要维护领域,并介绍了一种基于工业4.0的制造业预测性维护方法。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信