Assessment of Security Risks by FEMA and Fuzzy FEMA Methods, A Case Study: Combined Cycle Power Plant
Year: 2021
Type: article
Abstract: Background and Objective: In today's world, intentional accidents occur in many organizations due to numerous reasons.These intentional accidents usually aim to cause substantial damages to industries.To minimize the risk of these threats, it is essential to design and implement risk identification and risk assessment programs.The present study aimed to assess the risk associated with conscious threats with Federal Emergency Management Agency (FEMA) and fuzzy FEMA and compare the results of these two methods. Materials and Methods:In the present study, FMEA and fuzzy FMEA methods were used to identify and assess terrorist threats in a combined cycle power plant.The risks were identified using FEMA checklist.Risk assessment was performed through field observation, the examination of documents, and expert opinion.The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was used for prioritizing and selecting the optimum approach.Data were analyzed in SPSS software (version 21).Results: Based on the results, although the fuzzy FEMA method requires more time, as well as higher cost of implementation and educational needs, this method allows a more accurate estimation of risk levels due to the high level of accuracy of the results, and therefore, it prioritizes the units more efficiently.Therefore, the fuzzy FEMA was introduced as the preferred method.Conclusion: As evidenced by the results of the current study, the fuzzy FEMA method could be applied to overcome the weakness of the traditional method of FEMA.Moreover, it reduces uncertainty and increases the efficiency of organizations.
DOI: 10.52547/johe.8.2.16
Authors: Iraj Mohammadfam, Kamran Gholamizadeh
Institution: Hamedan University of Medical Sciences
Language: English
Topic: Risk and Safety Analysis
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4291305154