A CIA–ISM scenario approach for analyzing complex cascading effects in Operational Risk Management. (November 2015)

• Record Type: Journal Article
• Authors: Ramirez de la Huerga, Miguel; Bañuls Silvera, Victor A.; Turoff, Murray
• Is Part Of: Engineering applications of artificial intelligence. Volume 46:Part B(2015:Oct.)
• Page Start: 289
• Page End: 302
• Publication Date: 2015-11
• Subjects: 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 Diagram; Cross Impact Analysis -- Interpretative Structural Modeling -- Emergency management -- Industrial safety and security management -- Operational Risk Management -- Decision support systems; Engineering -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Ingénierie -- Informatique -- Périodiques; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; Artificial intelligence; Engineering -- Data processing; Expert systems (Computer science); Periodicals; 620.00285
• DOI: 10.1016/j.engappai.2015.07.016
• Languages: English
• ISSNs: 0952-1976

Abstract

Abstract: 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.