دانلود مقاله ISI انگلیسی شماره 50040
ترجمه فارسی عنوان مقاله

روش سناریو سیا ISM برای تجزیه و تحلیل اثرات آبشاری پیچیده در مدیریت ریسک عملیاتی

عنوان انگلیسی
A CIA–ISM scenario approach for analyzing complex cascading effects in Operational Risk Management
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
50040 2015 14 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Engineering Applications of Artificial Intelligence, Volume 46, Part B, November 2015, Pages 289–302

ترجمه کلمات کلیدی
تجزیه و تحلیل خطر تصادف - حوادث دنباله پیشرو
کلمات کلیدی انگلیسی
AHI, Accident Hazard Analysis; ASP, Accident Sequences Precursor; CIA, cross-impact analysis; CIASS, web-based tool for simulation and forecasting. www.ciass.org; ETA, Event Tree Analysis; FEI, Dow Fire and Explosion Index; FMEA, Failure Mode Effect Analysis; FMECA, Failure Mode Effect Criticality Analysis; HAZOP, Hazard and Operability; HRO, High Reliability Organization; HRT, High Reliability Theory; ISM, Interpretative Structural Modeling; MCAA, Maximum Credible Accident Analysis; NAT, Natural Accident Theory; PSA, Probabilistic Safety Analysis; RBD, Reliability Block DiagramCross Impact Analysis; Interpretative Structural Modeling; Emergency management; Industrial safety and security management; Operational Risk Management; Decision support systems
پیش نمایش مقاله
پیش نمایش مقاله    روش سناریو سیا ISM برای تجزیه و تحلیل اثرات آبشاری پیچیده در مدیریت ریسک عملیاتی

چکیده انگلیسی

This is the first paper to apply a combination of HAZOP and Risk Consequence Matrix plus Cross Impact Analysis (CIA) and Interpretative Structural Modeling (ISM) methods for analyzing complex cascading effects in Operational Risk Management in an industrial environment. This combination of methods allow obtain more information than using HAZOP and Risk Consequence Matrix because upgrades the individual risk analysis with the correlation between risks. Its main objective is to improve the understanding of the overall picture of an organization׳s risks. The paper summarizes the development of the combination of this methods of the interaction of 18 critical events of an industrial plant as a first step to improving organizational resilience based on the company׳s own estimations as well as the estimates of an expert panel. The main benefit of using these methods is to know the relationships between different risks and consequences, direct links, indirect and cascading effects. Having the possibility of knowing a full risk map and being able to make a forecast will help to mitigate the unexpected/unprepared effects and have a better response making better decisions after an emergency situations is the same as being more resilient.