Modeling and application of risk assessment considering veto factors using fuzzy Petri nets |
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| Institution: | 1. School of Reliability and Systems Engineering, Beihang University, Beijing 100191, P.R. China;2. Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing 100191, P.R. China;1. School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China;2. Safety and Security Science Group, Faculty of Technology, Policy and Management, Delft University of Technology, Delft, the Netherlands;3. Faculty of Applied Economics, Antwerp Research Group on Safety and Security (ARGoSS), University Antwerp, Antwerp, Belgium;4. CEDON, KULeuven, Campus Brussels, Brussels, Belgium;1. School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China;2. Faculty of Technology, Policy and Management, Safety and Security Science Group (S3G), TU Delft, Delft 2628 BX, the Netherland;3. Faculty of Applied Economics, Antwerp Research Group on Safety and Security (ARGoSS), Universiteit Antwerpen, Antwerp 2000, Belgium;4. CEDON, KULeuven, Brussels 1000, Belgium |
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| Abstract: | Risk assessment is important for plant safety, and fuzzy set theory is useful for such assessment because many risk factors have fuzzy characteristics. In this study, veto factors for risk assessment are taken into account. Weighted fuzzy Petri nets (WFPN) with inhibitor arcs are proposed to model relationships between risk factors and establish the risk assessment structure considering veto factors. Definitions of WFPNs as well as the enabling rule and execution rule are provided. The modeling approach for the assessment combining normal factors with veto items is discussed. The proposed fuzzy risk assessment approach is illustrated by an example of the assessment of production installations and process technology of plants that deal with hazardous chemicals. Veto factors and non-veto factors are presented and the assessment structure based on WFPNs is established. Using the factor data of a plant, an assessment value is obtained through the operation of WFPNs and the verification of the approach is discussed. |
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| Keywords: | Risk assessment Veto factors Fuzzy set Weighted fuzzy petri nets |
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