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Improved Quality Output through Computer-Based Training: An Automotive Assembly Field Study
University West, Department of Engineering Science, Division of Automation Systems. Volvo Technology. (PTW LINA)ORCID iD: 0000-0002-0429-2237
Chalmers University of Technology, Department of Product and Production Development,.
University West, Department of Economics and IT, Divison of Informatics. (LINA)ORCID iD: 0000-0002-4333-0371
2015 (English)In: Human Factors and Ergonomics in Manufacturing, ISSN 1090-8471, E-ISSN 1520-6564, Vol. 25, no 3, 304-318 p.Article in journal (Refereed) Published
Abstract [en]

In this article, two field experiments, conducted in an automotive assembly plant, evaluate how computer-based training of operational sequences and related quality information can support the assembly performance of the operators. The experiments were performed during the launch of a new vehicle. A comparison was made of learning progress and quality performance between a reference group of operators that only had regular training and a test group for which some of the regular training was replaced with individual computer-based training. Both quantitative measures of the quality output and questionnaires and observations were used to evaluate the effects of computer-based training. The results show a clear positive difference in learning progress and improvements in quality output for the test group compared with the reference group. This combined with positive attitudes expressed by the operators and their team leaders shows that this type of training is an effective way to train operators during launches of new vehicles in automotive production. © 2014 Wiley Periodicals, Inc.

Place, publisher, year, edition, pages
2015. Vol. 25, no 3, 304-318 p.
Keyword [en]
Launch training, Computer-based training, Automotive assembly operations, Cognitive training
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SOCIAL SCIENCE, Informatics
Identifiers
URN: urn:nbn:se:hv:diva-5904DOI: 10.1002/hfm.20540ISI: 000352527700004Scopus ID: 2-s2.0-84926415756OAI: oai:DiVA.org:hv-5904DiVA: diva2:694613
Note

Article first published online : 15 JAN 2014

Available from: 2014-02-07 Created: 2014-02-07 Last updated: 2016-02-27Bibliographically approved

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CiteExportLink to record
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