Dynamic View of Human Elements Design and Projection of Human Factors in Critical Task Operation Using Bayesian Networks

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Abstract

Accidents occur due to the release of hazard energy along a network of human factors (HF) until unwanted occurrences. To avoid the hazard energy to propagate, interventions are implemented in the project phase, based on the organizational and technological human elements. This paper presents a dynamic relationship of HF and an assessment of the barriers efficiency to avoid energy passage. The methodology involves analysis of the operational context, Bayesian Network and analysis of the hazard energy accumulated. The database of technological and operational information, management and operator’s discourse suggests a validated network with the results of the task and indicators of production and safety. By the application of this exercise, based on the real case of a chemical industry, hypothesis are suggested in relation to the HFs existing, which confirms the indirect probability of accidents and that disaster is almost impossible, although failures, deviations and low operational control are evident.

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Ávila, S., Ávila, J., Pereira, L., & Lima, E. R. F. (2020). Dynamic View of Human Elements Design and Projection of Human Factors in Critical Task Operation Using Bayesian Networks. In Advances in Intelligent Systems and Computing (Vol. 1216 AISC, pp. 193–199). Springer. https://doi.org/10.1007/978-3-030-51981-0_25

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