کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6854412 | 1437432 | 2015 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A CIA-ISM scenario approach for analyzing complex cascading effects in Operational Risk Management
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کلمات کلیدی
RBDInterpretative structural modelingFMECAMCAAETAhigh reliability organizationFMEAHROaHIISMNATASPOperational risk managementPSAHRTHAZOPReliability block diagram - بلوک قابلیت اطمینانFailure mode effect analysis - تجزیه و تحلیل اثر حالت نقصCross-impact analysis - تجزیه و تحلیل اثر متقابلProbabilistic Safety Analysis - تجزیه و تحلیل ایمنی احتمالیCross impact analysis - تجزیه و تحلیل تاثیر متقابلevent tree analysis - تجزیه و تحلیل درخت رویدادCIA - سیاDecision support systems - سیستم های پشتیبانی تصمیمEmergency management - مدیریت بحران
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 46, Part B, November 2015, Pages 289-302
Journal: Engineering Applications of Artificial Intelligence - Volume 46, Part B, November 2015, Pages 289-302
نویسندگان
Miguel Ramirez de la Huerga, Victor A. Bañuls Silvera, Murray Turoff,