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
Perspectives on Smart Maintenance Technologies – A Case Study in Small and Medium-Sized Enterprises (SMEs) Within Manufacturing Industry
Mälardalen Industrial Technology Center AB, Eskilstuna, Sweden.ORCID iD: 0000-0002-4543-0069
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Volvo Construction Equipment Operations, Eskilstuna, Sweden.ORCID iD: 0000-0002-0729-0122
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0002-7494-1474
2023 (English)In: 16th WCEAM Proceedings, Springer Nature , 2023, p. 571-585Conference paper, Published paper (Refereed)
Abstract [en]

Industry 4.0 consists of nine technological pillars: IIoT, Cloud Computing, Big Data and Analytics, AR, etc. Some of the pillars play an essential role in maintenance development. Previous research presents many technologies for smart maintenance, but one prevailing problem is that there are still challenges to implementing smart maintenance technologies cost-effectively in the manufacturing industry. Therefore, we explore perspectives on smart maintenance technologies from respondents within 15 manufacturing SMEs. We start by investigating whether the companies had implemented smart maintenance technologies, if so, in what context. Then, we explore perspectives from the manufacturing SMEs on added values, challenges, opportunities, advantages, and disadvantages of smart maintenance technologies. However, as none of the case companies had implemented any Smart Maintenance Technologies, only implementation challenges could be investigated.

Place, publisher, year, edition, pages
Springer Nature , 2023. p. 571-585
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Engineering and Technology Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:mdh:diva-62070DOI: 10.1007/978-3-031-25448-2_53Scopus ID: 2-s2.0-85151146920ISBN: 978-3-031-25448-2 (electronic)OAI: oai:DiVA.org:mdh-62070DiVA, id: diva2:1743276
Conference
16th World Congress on Engineering Asset Management (WCEAM), Seville from 5–7 October 2022.
Available from: 2023-03-14 Created: 2023-03-14 Last updated: 2023-11-13Bibliographically approved
In thesis
1. Smart Maintenance Technologies in the Manufacturing Industry: Implementation, Challenges, Enablers and Benefits
Open this publication in new window or tab >>Smart Maintenance Technologies in the Manufacturing Industry: Implementation, Challenges, Enablers and Benefits
2023 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

In Industry 4.0, production, Information Technology (IT), and the Internet are combined. The nine technologies of Industry 4.0, Artificial Intelligence (AI) and Cyber-Physical System (CPS), are changing machines, strategies, processes, and maintenance.

In the first generation of maintenance, machines were run to failure, which is related to Corrective Maintenance. Systems for planning and control were implemented in the second generation, related to Predetermined Maintenance. Condition Based Maintenance (CBM) was presented in the third maintenance generation. Industry 4.0 places new demands on maintenance and different maintenance approaches are presented in previous research, such as Maintenance 4.0, Smart Maintenance and Self-Maintenance. This research focuses on smart maintenance technologies, using the nine technologies of Industry 4.0, such as Industrial Internet of Things (IIoT), and Big Data and Analytics, for machine connection, maintenance data collection, analysis of data, and making decisions using AI. CPS can be used to integrate the physical world, such as manufacturing machines, factory environment, material, people, and executions, with the cyber world, such as data analysis, apps, services, and decision-making.

Previous research presents several approaches to smart maintenance technologies. One problem is a lack of research regarding how smart maintenance technologies can be implemented to add benefits to the maintenance organization in line with company’s goal. Furthermore, previous research presents that further research is needed to support the manufacturing industry in what step an organization should take to implement smart maintenance technologies. In this research, four studies have been performed, which include literature reviews to obtain a clear overview of the research area of smart maintenance, as well as collected empirical data. The empirical data is collected from large companies and Small and Medium-sized Enterprises (SMEs), within the manufacturing industry, to obtain a clear overview of the manufacturing industry’ situation. The studies show that the manufacturing industry faces several challenges when implementing smart maintenance technologies, despite the concept of Industry 4.0 has been discussed for more than ten years. In this research, a conceptual implementation process is proposed, including challenges and enablers to consider when implementing smart maintenance technologies, as well as benefits of using smart maintenance technologies.

Place, publisher, year, edition, pages
Eskilstuna: Mälardalens universitet, 2023. p. 75
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 350
National Category
Engineering and Technology Computer Systems
Research subject
Industrial Systems
Identifiers
urn:nbn:se:mdh:diva-64731 (URN)978-91-7485-622-4 (ISBN)
Presentation
2023-12-15, Mälardalen Industrial Technology Center, John Engellaus Gata 1, Eskilstuna, 09:00 (Swedish)
Opponent
Supervisors
Available from: 2023-11-14 Created: 2023-11-13 Last updated: 2023-11-24Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Giliyana, SanBengtsson, MarcusSalonen, Antti

Search in DiVA

By author/editor
Giliyana, SanBengtsson, MarcusSalonen, Antti
By organisation
Innovation and Product Realisation
Engineering and TechnologyProduction Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 102 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