title: SCAP: a new methodology for safety management based on feedback from credible accident-probabilistic fault tree analysis system.
abstract: As it is conventionally done, strategies for incorporating accident--prevention measures in any hazardous chemical process industry are developed on the basis of input from risk assessment. However, the two steps-- risk assessment and hazard reduction (or safety) measures--are not linked interactively in the existing methodologies. This prevents a quantitative assessment of the impacts of safety measures on risk control. We have made an attempt to develop a methodology in which risk assessment steps are interactively linked with implementation of safety measures. The resultant system tells us the extent of reduction of risk by each successive safety measure. It also tells based on sophisticated maximum credible accident analysis (MCAA) and probabilistic fault tree analysis (PFTA) whether a given unit can ever be made 'safe'. The application of the methodology has been illustrated with a case study.
authors.affiliation: Faculty of Engineering and Applied Science, Memorial University of Newfoundland, A1B 3X5, St. John's, NF, Canada. fkhan@engr.mun.ca
authors.forename: F I
authors.initials: FI
authors.lastname: Khan
authors.forename: A
authors.initials: A
authors.lastname: Iqbal
authors.forename: N
authors.initials: N
authors.lastname: Ramesh
authors.forename: S A
authors.initials: SA
authors.lastname: Abbasi
mesh_terms: D000056:Accident Prevention; D002617:Chemical Industry; D003657:Decision Making; D015386:Hazardous Substances; D006801:Humans; D016134:Organizational Policy; D011050:Policy Making; D011336:Probability; D018570:Risk Assessment
chemical_list: D015386:Hazardous Substances