Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • 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
Quantitative analysis of a conceptual system dynamics maintenance performance model using multi-objective optimisation
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-8188-7288
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Jönköping University, School of Engineering, Sweden. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-0111-1776
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-0880-2572
2018 (English)In: Journal of Simulation, ISSN 1747-7778, E-ISSN 1747-7786, Vol. 12, no 2, p. 171-189Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Taylor & Francis, 2018. Vol. 12, no 2, p. 171-189
National Category
Reliability and Maintenance Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-15063DOI: 10.1080/17477778.2018.1467849ISI: 000432552700008Scopus ID: 2-s2.0-85047239919OAI: oai:DiVA.org:his-15063DiVA, id: diva2:1198163
Available from: 2018-04-16 Created: 2018-04-16 Last updated: 2020-04-28Bibliographically approved
In thesis
1. Towards strategic development of maintenance and its effects on production performance: A hybrid simulation-based optimization framework
Open this publication in new window or tab >>Towards strategic development of maintenance and its effects on production performance: A hybrid simulation-based optimization framework
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Managing maintenance in manufacturing within an economical short-termism framework and taking the consequential long-term cost effects into account is hard. The increasing complexity of managing maintenance and its impact on the business results calls for more advanced methods to support long-term development through effective activities in the production system environment. This problem-based design science research has evolved into the novel concept of a hybrid simulation-based optimization (SBO) framework which integrates multi-objective optimization (MOO) with system dynamics (SD) and discrete-event simulation (DES) respectively. The objective is to support managers in their decision-making on the strategic and operational levels for prioritizing activities to develop maintenance and production performance.

To exemplify the hybrid SBO framework this research presents an SD model for the study of the dynamic behaviors of maintenance performance and costs, which aims to illuminate insights for the support of the long-term strategic development of maintenance practices. The model promotes a system view of maintenance costs that includes the dynamic consequential costs as the combined result of several interacting maintenance levels throughout the constituent feedback structures. These levels range from the applied combination of maintenance methodologies to the resulting proactiveness in production, such as the ratio between planned and unplanned downtime, in continuous change based on the rate of improvements arising from root-cause analyses of breakdowns. The model creation and validation process have been supported by two large maintenance organizations operating in the Swedish automotive industry. Experimental results show that intended changes can have both short-term and longterm consequences, and that the system may show both obvious and hidden dynamic behavioral effects.

The application of MOO distinguishes this work from previous research efforts that have mixed SD and DES. It presents a unique methodology to support more quantitative and objective-driven decision making in maintenance management, in which the outcome of an SD+MOO strategy selection process forms the basis for performance improvements on the operations level. This is achieved by framing the potential gains in operations in the DES+MOO study, as a result of the applied strategy in the SD model. All in all, this hybrid SBO framework allows pinpointing maintenance activities based on the analysis of the feedback behavior that generates less reactive load on the maintenance organization.

Place, publisher, year, edition, pages
Skövde: University of Skövde, 2018. p. 226
Series
Dissertation Series ; 21
Keywords
Strategic development, maintenance behavior, maintenance management, sustainable change, tradeoff optimization, system dynamics, discrete event simulation, problem structuring, multi-objective optimization, decision support
National Category
Reliability and Maintenance Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15036 (URN)978-91-984187-3-6 (ISBN)
Public defence
2018-04-23, Insikten, Kanikegränd 3A, Skövde, 13:15 (English)
Opponent
Supervisors
Projects
IPSI Research School
Available from: 2018-04-16 Created: 2018-04-12 Last updated: 2018-04-16Bibliographically approved

Open Access in DiVA

fulltext(3879 kB)712 downloads
File information
File name FULLTEXT01.pdfFile size 3879 kBChecksum SHA-512
a551a78708d56c4084bef554fa8a612fac48930cdf0f1214f8f2697ccb76ebc664bea5948dd85f4192a68a2e4d586e3419367077c14ef928b2ee748a75b6b3c5
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Linnéusson, GaryNg, Amos H. C.Aslam, Tehseen

Search in DiVA

By author/editor
Linnéusson, GaryNg, Amos H. C.Aslam, Tehseen
By organisation
School of Engineering ScienceThe Virtual Systems Research Centre
In the same journal
Journal of Simulation
Reliability and MaintenanceProduction Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar
Total: 712 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 834 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • 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