Maintenance in the Era of Industry 4.0: Issues and Challenges

  • Uday Kumar*
  • , Diego Galar
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

50 Citations (Scopus)

Abstract

The fourth generation of industrial activity enabled by smart systems and Internet-based solutions is known as Industry 4.0. Two most important characteristic features of Industry 4.0 are computerization using cyber-physical systems and the concept of “Internet of Things” adopted to produce intelligent factories. As more and more devices are instrumented, interconnected and automated to meet this vision, the strategic thinking of modern-day industry has been focused on deployment of maintenance technologies to ensure failure-free operation and delivery of services as planned. Maintenance is one of the application areas, referred to as Maintenance 4.0, in the form of self-learning and smart system that predicts failure, makes diagnosis and triggers maintenance. The paper addresses the new trends in manufacturing technology based on the capability of instrumentation, interconnection and intelligence together with the associated maintenance challenges in the era of collaborative machine community and big data environment. The paper briefly introduces the concept of Industry 4.0 and presents maintenance solutions aligned to the need of the next generation of manufacturing technologies and processes being deployed to realize the vision of Industry 4.0.The suggested maintenance approach to deal with new challenges due to the implementation of industry 4.0 is captured within the framework of eMaintenance solutions developed using maintenance analytics. The paper is exploratory in nature and is based on literature review and study of the current development in maintenance practices aligned to industry 4.0.

Original languageEnglish
Title of host publicationQuality, IT and Business Operations - Modeling and Optimization
EditorsP. K. Kapur, Uday Kumar, Ajit Kumar Verma
PublisherSpringer Science and Business Media B.V.
Pages231-250
Number of pages20
ISBN (Print)9789811055768
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventQuality, IT and Business Operations Modeling and Optimization conference, 2018 - Virtual, Online
Duration: 1 Jan 2018 → …

Publication series

NameSpringer Proceedings in Business and Economics
ISSN (Print)2198-7246
ISSN (Electronic)2198-7254

Conference

ConferenceQuality, IT and Business Operations Modeling and Optimization conference, 2018
CityVirtual, Online
Period1/01/18 → …

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