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
Development and Operation of Functional Products: Improving knowledge on availability through use of monitoring and service related data
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-2356-7830
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.ORCID iD: 0000-0003-1691-4387
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-5564-2295
2017 (English)In: Through-life Engineering Services / [ed] Redding, Louis, Roy, Rajkumar, Shaw, Andy, Springer International Publishing , 2017, p. 113-132Chapter in book (Refereed)
Abstract [en]

The book chapter addresses which measures five manufacturing companies have taken, or plan to take, regarding use of data originating from monitoring, service, support, maintenance, repairs as well as other sources, in order to improve the knowledge on availability in the context of providing Functional Products. Commonly, the objective of Functional Products is to provide a function to customers with a specified level of availability (or improvement of productivity or efficiency). The results indicate that systematic planning and collection of relevant data, which is either pre-processed on-board (i.e., locally) or sent as is to central or cloud-based storage and processing, in combination with additional necessary data from other sources, is crucial to build knowledge in order to uphold and improve the level of availability agreed upon with customers. As the use of software in Functional Products increases, the knowledge on availability related to software must be augmented—which can be a challenge for many companies whose operations have been rooted in hardware. Further, the results reveal that getting high-quality input is key in order to use the collected data for analytics and to find root causes. The latter may change how the current value-chain operates and secures the quality of necessary data when providing functions to customers if partners are involved in the provider consortium.

Place, publisher, year, edition, pages
Springer International Publishing , 2017. p. 113-132
Series
Decisions Engineering, ISSN 1619-5736 ; 1
National Category
Control Engineering Other Mechanical Engineering
Research subject
Computer Aided Design; Control Engineering; Centre - The Faste Laboratory
Identifiers
URN: urn:nbn:se:ltu:diva-20676DOI: 10.1007/978-3-319-49938-3_8Local ID: 705becc4-95dc-4035-b761-2cefb8de2157ISBN: 9783319499376 (print)ISBN: 9783319499376 (print)OAI: oai:DiVA.org:ltu-20676DiVA, id: diva2:993720
Projects
Fastelaboratoriet - VINNEXCAvailable from: 2016-09-29 Created: 2016-09-29 Last updated: 2020-03-05Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full texthttp://www.springer.com/gp/book/9783319499376

Authority records BETA

Lindström, JohnKällström, ElisabethKyösti, Petter

Search in DiVA

By author/editor
Lindström, JohnKällström, ElisabethKyösti, Petter
By organisation
Signals and SystemsProduct and Production Development
Control EngineeringOther Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 367 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