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Operator Training for Non-Technical Skills in Process Industry
University of South-Eastern Norway, Norway.
University of South-Eastern Norway, Norway.
Linnéuniversitetet, Sverige.ORCID iD: 0000-0001-5356-5126
Liverpool John Moores University, UK.
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2020 (English)In: 30th European Symposium on Computer Aided Process Engineering / [ed] Sauro Pierucci, Flavio Manenti, Giulia Luisa Bozzano, Davide Manca, Elsevier , 2020, p. 1993-1998Conference paper, Published paper (Refereed)
Abstract [en]

The increasing levels of automation have redefined the nature of human-machine interactions in the process industry. The changing nature of work demands that Control-Room Operators and Field Operators are competent with the use of new and emerging methods and technologies in order to perform their tasks safely and effectively. A critical aspect of complex socio-technical systems is the requirement for humans to successfully interact with, and manage, both technical systems and team dynamics of human-to-human operations. Non-technical skills, such as communication, leadership, decision making, and teamwork are considered vital for safety in high-risk domains. Training has traditionally played a crucial role to instill the required technical and non-technical skills to the operators. Recurring training is also necessary for maintaining the knowledge and competencies required to face challenging operational environments. In this paper, four examples of non-technical skills training approaches used by an electric utility company for their operators are presented. This article reveals differing aspects of design and implementation of non-technical skills training in the process industry. It also demonstrates the necessity for research into the analysis of future training needs and assessment methods.

Place, publisher, year, edition, pages
Elsevier , 2020. p. 1993-1998
Series
Computer Aided Chemical Engineering, ISSN 1570-7946 ; 48
Keywords [en]
process industry, training, safety, simulator, virtual reality
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Shipping, Maritime Science
Identifiers
URN: urn:nbn:se:vti:diva-17059DOI: 10.1016/B978-0-12-823377-1.50333-5ISI: 000652152900333Scopus ID: 2-s2.0-85092771924ISBN: 978-0-12-823377-1 (print)OAI: oai:DiVA.org:vti-17059DiVA, id: diva2:1750708
Conference
30th European Symposium on Computer Aided Process Engineering
Available from: 2020-11-10 Created: 2023-04-14 Last updated: 2025-09-11Bibliographically approved

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Praetorius, Gesa

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
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  • fi-FI
  • nn-NO
  • nn-NB
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More languages
Output format
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  • asciidoc
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