Integrating Human Barriers in Human Reliability Analysis: A New Model for the Energy Sector

Dina Guglielmi, Alessio Paolucci, Valerio Cozzani, Marco Giovanni Mariani, Luca Pietrantoni and Federico Fraboni
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Dina Guglielmi: Department of Educational Science, University of Bologna, Viale Filippo Re 6, 40126 Bologna, Italy
Alessio Paolucci: Department of Educational Science, University of Bologna, Viale Filippo Re 6, 40126 Bologna, Italy
Valerio Cozzani: LISES—Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Via Terracini 28, 40131 Bologna, Italy
Marco Giovanni Mariani: Department of Psychology, University of Bologna, Via Berti Pichat 5, 40126 Bologna, Italy
Luca Pietrantoni: Department of Psychology, University of Bologna, Via Berti Pichat 5, 40126 Bologna, Italy
Federico Fraboni: Department of Psychology, University of Bologna, Via Berti Pichat 5, 40126 Bologna, Italy

IJERPH, 2022, vol. 19, issue 5, 1-17

Abstract: Human reliability analysis (HRA) is a major concern for organizations. While various tools, methods, and instruments have been developed by the scientific community to assess human error probability, few of them actually consider human factors impact in their analysis. The active role that workers have in shaping their own performance should be taken into account in order to understand the causal factors that may lead to errors while performing a task and identifying which human factors may prevent errors from occurring. In line with this purpose, the aim of this study is to present a new methodology for the assessment of human reliability. The proposed model relies on well-known HRA methodologies (such as SPAR-H and HEART) and integrates them in a unified framework in which human factors assume the role of safety barriers against human error. A test case of the new method was carried out in a logistics hub of an energy company. Our results indicate that human factors play a significant role in preventing workers from making errors while performing tasks by reducing human error probability. The limits and implications of the study are discussed.

Keywords: human reliability; HRA; human error probability; human factors; safety barriers (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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