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Assessing human performance and human reliability: a review

Author

Listed:
  • Yuga Raju Gunda

    (Indian Institute of Technology (BHU))

  • Suprakash Gupta

    (Indian Institute of Technology (BHU))

  • Lalit Kumar Singh

    (Nuclear Power Corporation of India Limited)

Abstract

Many organisational officials agree that most of the incidents in the field happen due to undesirable human performance (or human error). So, to maintain safety and efficiency at work where human subjects are involved, it is necessary to have in-depth knowledge about human performance analysis and assessment. This article reviewed human performance from its different facets to understand it and find techniques available to help manage it. To review this subject, we have followed a user-friendly, replicable technique. After the intense review, we noticed a need for more adaptable technologies in system safety, where the work can only be accomplished with human involvement. This review helps researchers and has the capability to advance studies both in the engineering psychology and human reliability fields. It also assists the novice in the organisational management team in understanding essential parameters responsible for human performance in order to improve human work safety and efficiency.

Suggested Citation

  • Yuga Raju Gunda & Suprakash Gupta & Lalit Kumar Singh, 2023. "Assessing human performance and human reliability: a review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(3), pages 817-828, June.
  • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:3:d:10.1007_s13198-023-01893-5
    DOI: 10.1007/s13198-023-01893-5
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    References listed on IDEAS

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    1. Musharraf, Mashrura & Smith, Jennifer & Khan, Faisal & Veitch, Brian & MacKinnon, Scott, 2016. "Assessing offshore emergency evacuation behavior in a virtual environment using a Bayesian Network approach," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 28-37.
    2. Bing Wu & Xinping Yan & Yang Wang & C. Guedes Soares, 2017. "An Evidential Reasoning‐Based CREAM to Human Reliability Analysis in Maritime Accident Process," Risk Analysis, John Wiley & Sons, vol. 37(10), pages 1936-1957, October.
    3. Sotiralis, P. & Ventikos, N.P. & Hamann, R. & Golyshev, P. & Teixeira, A.P., 2016. "Incorporation of human factors into ship collision risk models focusing on human centred design aspects," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 210-227.
    4. Sakurahara, Tatsuya & Schumock, Grant & Reihani, Seyed & Kee, Ernie & Mohaghegh, Zahra, 2019. "Simulation-Informed Probabilistic Methodology for Common Cause Failure Analysis," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 84-99.
    5. Zhang, Fan & de Dear, Richard & Hancock, Peter, 2019. "Effects of moderate thermal environments on cognitive performance: A multidisciplinary review," Applied Energy, Elsevier, vol. 236(C), pages 760-777.
    6. Woocheol Kim & Jiwon Park, 2017. "Examining Structural Relationships between Work Engagement, Organizational Procedural Justice, Knowledge Sharing, and Innovative Work Behavior for Sustainable Organizations," Sustainability, MDPI, vol. 9(2), pages 1-16, February.
    7. Zwirglmaier, Kilian & Straub, Daniel & Groth, Katrina M., 2017. "Capturing cognitive causal paths in human reliability analysis with Bayesian network models," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 117-129.
    8. Akihito Shimazu & Wilmar B Schaufeli & Kazumi Kubota & Kazuhiro Watanabe & Norito Kawakami, 2018. "Is too much work engagement detrimental? Linear or curvilinear effects on mental health and job performance," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-17, December.
    9. Judith P. Andersen & Harri Gustafsberg, 2016. "A Training Method to Improve Police Use of Force Decision Making," SAGE Open, , vol. 6(2), pages 21582440166, April.
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