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A taxonomy of performance shaping factors for human reliability analysis in industrial maintenance

Human factors play an inevitable role in maintenance activities, and the occurrence of Human Errors (HEs) affects system reliability and safety, equipment performance and economic results. The high HE rate increased researchers’ attention towards Human Reliability Analysis (HRA) and HE assessment approaches. In these approaches, various environmental and individual factors influence the performance of maintenance operators affecting Human Error Probability. | A taxonomy of performance shaping factors for human reliability analysis in industrial maintenance Journal of Industrial Engineering and Management JIEM, 2019 – 12(1): 115-132 – Online ISSN: 2013-0953 – Print ISSN: 2013-8423 https://doi.org/10.3926/jiem.2702 A Taxonomy of Performance Shaping Factors for Human Reliability Analysis in Industrial Maintenance Chiara Franciosi , Valentina Di Pasquale , Raffaele Iannone , Salvatore Miranda Department of Industrial Engineering, University of Salerno (Italy) cfranciosi@unisa.it, vdipasquale@unisa.it, riannone@unisa.it, smiranda@unisa.it Received: August 2018 Accepted: December 2018 Abstract: Purpose: Human factors play an inevitable role in maintenance activities, and the occurrence of Human Errors (HEs) affects system reliability and safety, equipment performance and economic results. The high HE rate increased researchers’ attention towards Human Reliability Analysis (HRA) and HE assessment approaches. In these approaches, various environmental and individual factors influence the performance of maintenance operators affecting Human Error Probability (HEP) with a consequent variability in the success of intervention. However, a deep analysis of such factors in the maintenance field, often called Performance Shaping Factors (PSFs), is still missing. This has led the authors to systematically evaluate the literature on Human Error in Maintenance (HEM) and on the PSFs, in order to provide a shared PSF taxonomy. Design/methodology/approach: A Systematic Literature Review (SLR) was conducted to identify and select peer-reviewed papers that provided evidence on the relationship between maintenance activities and human performance. The obtained results provided a wide overview in the field of interest, shedding light on three main research areas of investigation: methodologies for human error analysis in maintenance, performance shaping factors and maintenance