https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
What is Smart Maintenance in Manufacturing Industry?
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0002-7494-1474
2023 (English)In: Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH , 2023, p. 366-374Conference paper, Published paper (Refereed)
Abstract [en]

The ongoing transformation of manufacturing industry into digitalized production, Industry 4.0, has put new perspectives on the maintenance of production systems. The technologies offer an array of new possibilities in optimization of maintenance and data driven decision making. On the other hand, these new technologies offer a lot of challenges in form of investment costs, need for new competences, and how to handle the equipment legacy, i.e. upgrading old equipment. Many researchers associate data driven decision making with intelligent sensors, cloud computing and cyber physical systems, but are these technologies the most cost-effective way of achieving data driven maintenance? The aim of this paper is to discuss how manufacturing industry should approach smart maintenance in order to improve the industry’s competitiveness, rather than spending money on technology that doesn’t contribute. The basis for the discussion will mainly be a literature study but additional empirical data may be included.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2023. p. 366-374
Keywords [en]
Competition, Cost effectiveness, Embedded systems, Maintenance, Cloud-computing, Data driven decision, Decisions makings, Intelligent sensors, Investment costs, Manufacturing industries, Old equipment, Optimisations, Production industries, Production system, Decision making
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:mdh:diva-62210DOI: 10.1007/978-3-031-25448-2_35Scopus ID: 2-s2.0-85151145822ISBN: 9783031254475 (print)OAI: oai:DiVA.org:mdh-62210DiVA, id: diva2:1750089
Conference
6th World Congress on Engineering Asset Management, WCEAM 2022Seville5 October 2022 through 7 October 2022 Code 291789
Available from: 2023-04-12 Created: 2023-04-12 Last updated: 2023-04-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Salonen, Antti

Search in DiVA

By author/editor
Salonen, Antti
By organisation
Innovation and Product Realisation
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 49 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf