An extension of the fuzzy improved risk graph and fuzzy analytical hierarchy process for determination of chemical complex safety integrity levels. Issue 4 (2nd October 2019)

• Record Type: Journal Article
• Authors: Yazdi, Mohammad
• Is Part Of: International journal of occupational safety and ergonomics. Volume 25:Issue 4(2019)
• Page Start: 551
• Page End: 561
• Publication Date: 2019-10-02
• Subjects: fuzzy set theory -- risk graph method -- safety integrity level -- chemical plant; Human engineering -- Periodicals; Industrial safety -- Periodicals; Human Engineering -- Periodicals; Occupational Health -- Periodicals; Ergonomie -- Périodiques; Sécurité du travail -- Périodiques; Human engineering; Industrial safety; Periodicals; 620.8
• DOI: 10.1080/10803548.2017.1419654
• Languages: English
• ISSNs: 1080-3548

Abstract

Abstract : The risk graph (RG) is widely used to evaluate the safety integrity level (SIL) of safety instrument systems (SIS). However, subjective opinion-based conventional RGs cannot provide successful results for the problems of risk parameters, such as shortages or lack of data; hence, the output of a conventional approach lacks sufficient reliability. We introduced the fuzzy improved risk graph (FIRG), an extension of fuzzy set theory, to deal with possible ambiguities during SIL study and increase the reliability of conventional RGs. In the present study, the levels of consequences defined as linguistic terms were converted into qualitative intervals; therefore, by correlating the proposed approach with experts' opinions and attributing weight factors, a desired SIL value was obtained. The output of this new approach can be compared directly with quantitative risk assessment techniques to improve the safety performance of industrial systems.