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
Towards intelligent and sustainable production: combining and integrating online predictive maintenance and continuous quality control
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-2356-7830
Gestamp Hardtech AB.
Gestamp Hardtech AB.
Gestamp Hardtech AB.
Number of Authors: 4
2017 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 63, 443-448 p.Article in journal (Refereed) Published
Abstract [en]

The paper addresses intelligent and sustainable production in the sense of combining and integrating online predictive maintenance andcontinuous quality control. The rationale for combining and integrating them is that continuous quality control can provide input to the onlinepredictive maintenance in cases where no signs of maintenance issues have been indicated and inadequate output is produced (and the processparameters cannot be adjusted in order to meet the output specifications). The paper outlines the first part of an action research effort atGestamp HardTech AB in Sweden, whose objective is to keep its position as a world-leading provider of press-hardened vehicle parts. The firstinitial design criteria concerned with simplicity and low-cost was changed after learning more details and what can be accomplished, and theupdated first design criteria focused instead on robustness, high-quality output and future-proofing. The intermediary result is an action plan forthe technical change, whereas the organizational change will be addressed later during the action research effort.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 63, 443-448 p.
Keyword [en]
continuous quality control; intelligent; online predictive maintenance; production; sustainable.
National Category
Engineering and Technology Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-62531DOI: 10.1016/j.procir.2017.03.099Scopus ID: 2-s2.0-85028651566OAI: oai:DiVA.org:ltu-62531DiVA: diva2:1082372
Conference
50th CIRP Conference on Manufacturing Systems, 3-5 May, 2017, Taichung, Taiwan
Note

2017-08-16 (andbra);Konferensartikel i tidskrift

Available from: 2017-03-16 Created: 2017-03-16 Last updated: 2017-11-24Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopushttp://www.sciencedirect.com/science/article/pii/S2212827117302457

Authority records BETA

Lindström, John

Search in DiVA

By author/editor
Lindström, John
By organisation
Signals and Systems
In the same journal
Procedia CIRP
Engineering and TechnologyControl Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 672 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