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
A Realistic Lean Training Environment for the Manufacturing Industry: Karlstad Lean Factory
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics. (CMM)ORCID iD: 0000-0002-3108-6893
2016 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Simulation for training lean manufacturing ranges from simple paper-based or LEGO®-based games to larger scale simulation environments, for instance push car assembly. Whilst such simulations may be suitable for educating students, they are often less suitable for training industry workers. The latter group is more diverse and is more used to intuitive learning than to formal instruction. Thus, it is important that a training environment for this group more realistically represents the work environment; otherwise training transfer will be limited. For this reason, a lean training environment that includes materials processing stations as well as assembly areas was created. The stations exhibit some realistic behaviour such as stochastic breakdowns. Based on a comparison between factory workers and university students, hypotheses for testing in future work are proposed.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Lean Manufacturing, Serious Gaming, Experiential Learning, Industrial Training, Professional Development, Life Long Learning
National Category
Mechanical Engineering
Research subject
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kau:diva-46973OAI: oai:DiVA.org:kau-46973DiVA: diva2:1041388
Conference
The 7th International Swedish Production Symposium, 25th – 27th of October 2016
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2017-08-14Bibliographically approved

Open Access in DiVA

SPS16 long abstract(375 kB)4 downloads
File information
File name SUMMARY01.pdfFile size 375 kBChecksum SHA-512
ecb70b556ebb440a32bdaffea6aec1264bcbc74813e3c48fc4b5d6bf79d3b0606499111997a49ee3e8620cb75d7ab48d4d86e7d94449c3191f2636a0d11303ef
Type summaryMimetype application/pdf

Search in DiVA

By author/editor
Jacobsson, LasseWickberg, AndersDe Vin, Leo
By organisation
Department of Engineering and Physics
Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar
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

urn-nbn

Altmetric score

urn-nbn
Total: 158 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