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Human reliability assessment (HRA) in maintenance of production process: a case study
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Department of Engineering and Safety, UiT The Arctic University of Norway, Tromsø.
Tromsø University, Department of Engineering and Safety, UiT The Arctic University of Norway, Tromsø.
2016 (English)In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 7, no 2, p. 229-238Article in journal (Refereed) Published
Abstract [en]

Human reliability makes a considerable contribution to the maintenance performance, safety, and cost-efficiency of any production process. To improve human reliability, the causes of human errors should be identified and the probability of human errors should be quantified. Analysis of human error is very case-specific; the context of the field should be taken into account. The aim of this study is to identify the causes of human errors and improve human reliability in maintenance activities in the cable manufacturing industry. The central thrust of this paper is to employ the three most common HRA techniques—human error assessment and reduction technique, standardized plant analysis risk-human reliability, and Bayesian network—for estimating human error probabilities and then to check the consistency of the results obtained. The case study results demonstrated that the main causes of human error during maintenance activities are time pressure, lack of experience, and poor procedure. Moreover, the probabilities of human error, obtained by employing the three techniques, are similar and consistent

Place, publisher, year, edition, pages
2016. Vol. 7, no 2, p. 229-238
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-6657DOI: 10.1007/s13198-016-0453-zISI: 000377294400010Scopus ID: 2-s2.0-84964727706Local ID: 4e8fa9c5-f6a8-48bb-945a-a621a2eab5f2OAI: oai:DiVA.org:ltu-6657DiVA, id: diva2:979543
Note
Validerad; 2016; Nivå 1; 20160512 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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