How the management aspects can affect the results of the QRA |
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| Institution: | 1. Key Laboratory of Safety and High-efficiency Coal Mining, Ministry of Education, Anhui University of Science & Technology, Huainan, Anhui 232001, China;2. School of Mining and Safety Engineering, Anhui University of Science & Technology, Huainan, Anhui 232001, China;3. School of Economics and Management, Anhui University of Science & Technology, Huainan, Anhui 232001, China;4. School of Safety Engineering, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China;1. Graduate Aerospace Laboratories, California Institute of Technology, Pasadena, CA 91125, USA;2. Center for Combustion Energy, Tsinghua University, Beijing 100084, China;3. Department of Automotive Engineering, Tsinghua University, Beijing 100084, China;4. Lehrstuhl für Thermodynamik, Technische Universität München, Garching, Germany;1. School of Vehicle and Mobility, State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China;2. Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing 100081, China;3. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China;1. Graduate School of Environment and Information Sciences, Yokohama National University, 79-7 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan;2. Graduate School of Natural Science and Technology, Okayama University, 3 Chome-1-1 Tsushimanaka, Kita Ward, Okayama, 700-8530, Japan;3. Institute of Advanced Sciences, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan;4. Faculty of Environment and Information Sciences, Yokohama National University, 79-7 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan;5. Center for Creation of Symbiosis Society with Risk, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan;6. United Technologies Research Center (UTRC), East Hartford, CT 06108 USA |
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| Abstract: | This paper describes a procedure to include into the quantitative risk assessment (and namely in the construction and solution of the Fault Trees) the Safety Management System (SMS) aspects.The parameters used for probabilistic assessment of the Expected Number of Failures (ENF) of a Top Event are parameterised depending on:- 1.a weight assigned to each SMS section with reference to the parameter;
- 2.a judgment about the correct application of the same SMS section.
Each probabilistic parameter (e.g. failure rates, mean time to repair, and so on) is thus modified using a mathematical algorithm, where an overall parameter including all the SMS sections influencing each single parameter is defined.The application of the procedure to a formaldehyde plant allowed the validation of the method and is here entirely reported. |
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