Abstract
In many industrial systems, accidents result from equipment failures and human errors. The latter can thus be viewed as a form of system failure which must be identified and analyzed. In this paper, an industrial system made up of a brake press operated by a single operator is analyzed. A reliability Markov diagram including repair states is drawn to model the system. The probability of a work accident (failed state of the system) is calculated using fuzzy numbers. An innovative aspect of this study is that repair states for human failures are also defined and their repair rates are estimated. The equations of state of the system are then derived and solved. Thus, the probability of the system being in a failed state is calculated.
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Venditti, T., Tran, N.P.D., Ngô, A.D.: Dynamic fuzzy safety analysis of an industrial system. In: 2017 8th International Conference on Applied Human Factors and Ergonomics (AHFE), Los Angeles, California, USA, 19th to 21st July 2017 (2017)
Venditti, T., Tran, N.P.D., Ngô, A.D.: System safety analysis of an industrial process using fuzzy methodology. In: 4th International Conference on Fuzzy Systems and Data Mining, FSDM 2018, Bangkok, Thailand, 16–19 November 2018 (2018)
Venditti, T., Tran, N.P.D., Ngô, A.D.: Expert elicitation methodology in the risk analysis of an industrial machine. In: 9th International Conference on Applied Human Factors and Ergonomics (AHFE), Orlando, Florida, USA, 21st to 25th July 2018 (2018)
Department of Defense USA: MIL-STD-882D Standard Practice for System Safety (1993)
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The authors acknowledge financial support from ÉREST.
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Venditti, T., Tran, N.D.P., Ngo, A.D. (2020). Safety Analysis of an Industrial System Using Markov Reliability Diagram with Repair. In: Arezes, P., Boring, R. (eds) Advances in Safety Management and Human Performance. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1204. Springer, Cham. https://doi.org/10.1007/978-3-030-50946-0_26
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DOI: https://doi.org/10.1007/978-3-030-50946-0_26
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