Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
An Enterprise Architecture Based Method Enabling Quantified Analysis of IT Support System's Impact on Maintenance Management
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-3014-5609
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0002-3293-1681
2009 (English)In: PROCEEDINGS OF PICMET 09: TECHNOLOGY MANAGEMENT IN THE AGE OF FUNDAMENTAL CHANGE, NEW YORK: IEEE , 2009, 3092-3105 p.Conference paper, Published paper (Refereed)
Abstract [en]

Enterprise Architecture (EA) is a model based tool enabling holistic management of an enterprise's IT-system portfolio and its relation and support to the business. A domain where the relation between IT-systems and business processes is crucial for cost efficient operation is maintenance of asset dense geographically distributed processes, such as distribution of electric power. Electric power utilities invest a lot of monetary resources in maintenance without having a clear perception of how its management and processes should be optimized. A large proportion of these investments are related to development and integration of IT-systems. The degree of efficiency of these investments runs a risk of being low unless there is a clear understanding of how specific IT system solutions impact the maintenance process. The suggested method provides managerial support for rationalizing decisions concerning IT-systems' support of maintenance management by combining EA with the concept of the Balanced Scorecard. Extended Influence Diagrams (EIDs) are introduced to enable quantitative analysis of how cause and effect between IT-systems and the performance of maintenance processes are related to each other.

Place, publisher, year, edition, pages
NEW YORK: IEEE , 2009. 3092-3105 p.
Keyword [en]
INFLUENCE DIAGRAMS
National Category
Computer and Information Science Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-29849DOI: 10.1109/PICMET.2009.5262273ISI: 000277502501117Scopus ID: 2-s2.0-70450265695ISBN: 978-1-8908-4319-9 (print)OAI: oai:DiVA.org:kth-29849DiVA: diva2:399778
Conference
Conference of the Portland-International-Center-for-Management-of-Engineering-and-Technology (PICMET 2009), Portland, OR, AUG 02-06, 2009
Note
QC 20110222Available from: 2011-02-23 Created: 2011-02-17 Last updated: 2011-02-23Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Nordström, LarsJohnson, Pontus

Search in DiVA

By author/editor
Höök, DavidGustafsson, PiaNordström, LarsJohnson, Pontus
By organisation
Industrial Information and Control Systems
Computer and Information ScienceOther Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 62 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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