Abstract
In the nuclear industry, while there exists a growing body of knowledge on human reliability data for actions inside the main control room, there is a lack of empirical data for field operator tasks. In this paper we present an initial study to verify a new framework for collecting reliability data for actions outside the control room. The study focuses on verifying the applicability and relevance of this framework in real world contexts, specifically regarding performance shaping factors. We have conducted a data collection at the Halden Boiling Water Reactor in Norway with six crews during normal operation. The preparation included: 1) selection of a target scenario where actions outside the control room were relevant; 2) conducting a walkthrough at the site with an experienced operator; 3) performing a task analysis based on the walkthrough; 4) creating a checklist for observation and data collection at the plant; 5) making a questionnaire to assess operators’ perception and understanding of the task; and 6) developing a semi-structured guide for a debriefing interview. During the study the researchers shadowed the two involved operators both in the field and in the control room. The findings confirmed the framework assumptions that performance shaping factors such as communication, background knowledge and situation understanding play a crucial role in actions outside the control room. Other findings from the study highlight the relevance of: a) trust in the team; and b) procedures for standardized task performance, as well as to reduce variability in operators’ actions.
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Swain, A.D., Guttmann, H.E.: Handbook of Human Reliability Analysis with Emphasis on Nuclear Power Plant Applications: Final Report (NUREG/CR-1278). Nuclear Regulatory Commission of the United States of America, Washington, USA (1983)
Oliveira, L.N., Santos, J.A.L., Carvalho, P.V.R.: A review of the evolution of human reliability analysis methods at nuclear industry. In: International Nuclear Atlantic Conference – INAC 2017, Belo Horizonte, MG, Brazil, 22–27 October 2017 (2017)
Zou, Y., Zhang, L., Dai, L., Li, P., Qing, T.: Human reliability analysis for digitized nuclear power plants: case study on the LingAo II nuclear power plant. Nucl. Eng. Technol. 49(2), 335–341 (2017)
Huber, S., van Wijgerden, I., de Witt, A., Dekker, S.W.A.: Learning from organizational incidents: resilience engineering for high-risk process environments. Process Saf. Prog. 28(1), 90–95 (2009)
Kantowitz, B.H., Sorkin, R.D.: Human Factors: Understanding People-System Relationships. Wiley, Hoboken (1983)
Boring, R.: How many performance shaping factors are necessary for human reliability analysis? In: Proceedings of the 10th International Conference on Probabilistic Safety Assessment and Management (2010)
Skjerve, A.B., Nihwiling, C., Nystad, E.: Lessons learned from the extended teamwork study (HWR-867). The OECD Halden Reactor Project, Halden (2008)
Blackett, C.: Operator Reliability for Actions Outside the Control Room: Scope and Research Direction (HWhP-070). OECD Halden Reactor Project, Halden (2019)
Bisio, R., Fernandes, A., Blackett, C.: A Framework to Analyse Human Performance Outside the Control Room (HWR-1277). OECD Halden Reactor Project (2020)
Acknowledgements
The authors would like to thank Ronny Sandbaek for his support in planning and performing the data collection with crucial process expertise.
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Fernandes, A., Bisio, R., Blackett, C. (2020). Operator Actions Outside the Control Room: A Field Study. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. Cognition and Design. HCII 2020. Lecture Notes in Computer Science(), vol 12187. Springer, Cham. https://doi.org/10.1007/978-3-030-49183-3_3
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DOI: https://doi.org/10.1007/978-3-030-49183-3_3
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