Security risk assessment: Applying the concepts of fuzzy logic |
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| Authors: | Shailendra Bajpai Anish Sachdeva J.P. Gupta |
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| Affiliation: | 1. Department of Chemical Engineering, National Institute of Technology, Jalandhar, India;2. Department of Industrial Engineering, National Institute of Technology, Jalandhar, India;3. Rajiv Gandhi Institute of Petroleum Technology, Noida, India;4. Indian Institute of Technology, Kanpur, India;1. LISES, Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali, Alma Mater Studiorum, Università di Bologna, via Terracini 28, 40131 Bologna, Italy;2. Safety and Security Science Group, Department of Values, Technology and Innovation, Delft University of Technology, Jaffalaan 5, 2628 BX Delft, Netherlands;1. Dipartimento di Ingegneria Civile e Industriale, Università di Pisa, Largo Lucio Lazzarino 2, 56126 Pisa, Italy;2. LISES – Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali, Alma Mater Studiorum – Università di Bologna, via Terracini n.28, 40131 Bologna, Italy;1. Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali, Alma Mater Studiorum—Università di Bologna, Bologna, Italy;2. Safety and Security Science Group, Faculty of Technology, Policy, and Management, Delft University of Technology, The Netherlands;1. Dipartimento di Ingegneria Civile e Industriale, Università di Pisa, Largo Lucio Lazzarino 1, 56126 Pisa, Italy;2. LISES—Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali, Alma Mater Studiorum—Università di Bologna, via Terracini n.28, 40131 Bologna, Italy;3. Safety and Security Science Group, Faculty of Technology, Policy, and Management, Delft University of Technology, Jaffalaan 5, 2628 BX Delft, The Netherlands;4. Faculty of Economics and Organizational Sciences, Campus Brussels, KU Leuven, Warmoesberg 26, 1000 Brussels, Belgium;1. University of Belgrade, Technical Faculty in Bor, VJ 12, Bor, Serbia;2. University of Belgrade, Faculty of Mining and Geology, Djusina 7, Belgrade, Serbia |
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| Abstract: | Chemical process industries (CPI) handling hazardous chemicals in bulk can be attractive targets for deliberate adversarial actions by terrorists, criminals and disgruntled employees. It is therefore imperative to have comprehensive security risk management programme including effective security risk assessment techniques. In an earlier work, it has been shown that security risk assessment can be done by conducting threat and vulnerability analysis or by developing Security Risk Factor Table (SRFT). HAZOP type vulnerability assessment sheets can be developed that are scenario based. In SRFT model, important security risk bearing factors such as location, ownership, visibility, inventory, etc., have been used. In this paper, the earlier developed SRFT model has been modified using the concepts of fuzzy logic. In the modified SRFT model, two linguistic fuzzy scales (three-point and four-point) are devised based on trapezoidal fuzzy numbers. Human subjectivity of different experts associated with previous SRFT model is tackled by mapping their scores to the newly devised fuzzy scale. Finally, the fuzzy score thus obtained is defuzzyfied to get the results. A test case of a refinery is used to explain the method and compared with the earlier work. |
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