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
Challenges of Discrete Event Simulation in the Early Stages of Production System Design
Malardalen Univ, Sch Innovat Design & Engn, Eskilstuna, Sweden..
Malardalen Univ, Sch Innovat Design & Engn, Eskilstuna, Sweden..
KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.ORCID iD: 0000-0001-7935-8811
Jonkoping Univ, Sch Engn, Jonkoping, Sweden..
2019 (English)In: International journal of industrial engineering, ISSN 1072-4761, E-ISSN 1943-670X, Vol. 26, no 5, p. 819-834Article in journal (Refereed) Published
Abstract [en]

This study analyzes the challenges of applying discrete event simulation in the early stages of production system design. Highlighting the implications of new production processes and technologies leading to improved competitiveness, this study provides novel contributions to the understanding of discrete event simulation based on three case studies of the transformation of legacy production systems in the heavy vehicle industry. The findings of this study show that equivocal or ambiguous understanding about new production processes or technologies, and uncertainty about necessary data input and the interrelation of subsystems in production, are critical in addressing discrete event simulation-related challenges. These findings highlight the need for an established process to manage assumptions and simplifications during the design, development, and deployment of discrete event simulation models as a countermeasure against uncertainties, improving manufacturing system design and practice.

Place, publisher, year, edition, pages
Univ Cincinnati Industrial Engineering , 2019. Vol. 26, no 5, p. 819-834
Keywords [en]
production system design, discrete event simulation, case study, innovation, uncertainty, equivocality
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-265457ISI: 000498192800010OAI: oai:DiVA.org:kth-265457DiVA, id: diva2:1380316
Note

QC 20191218

Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2019-12-18Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Wiktorsson, Magnus

Search in DiVA

By author/editor
Wiktorsson, Magnus
By organisation
Sustainable production development
In the same journal
International journal of industrial engineering
Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 29 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