Modeling and Assessing Human Error Risk in Firefighting Operations Using SLIM and Fuzzy SLIM

سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 80

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شناسه ملی سند علمی:

IAHWCONF01_022

تاریخ نمایه سازی: 19 فروردین 1404

چکیده مقاله:

Modeling and Assessing Human Error Risk in Firefighting Operations Using SLIM and Fuzzy SLIM Human error significantly impacts the safety and effectiveness of firefighting operations, contributing to a substantial percentage of incidents and accidents within the fire service — estimates suggest that human error is a factor in ۵۰% to ۹۵% of cases. Understanding and mitigating these risks are critical not only for the safety of firefighters but also for the protection of civilians and property. Prominent incidents, such as the Mann Gulch Fire and the Storm King Mountain Fire, exemplify the dire consequences of human error, highlighting failures in decision-making, leadership, and operational capabilities. To address the complexities of human error in firefighting, methodologies such as the Success Likelihood Index Method (SLIM) and its advanced counterpart, Fuzzy SLIM, have been developed. SLIM is a structured decision-analytic approach that evaluates the likelihood of human errors by analyzing performance-shaping factors and providing a quantitative assessment of error probabilities during firefighting tasks. In contrast, Fuzzy SLIM incorporates fuzzy logic to better handle uncertainties and ambiguities inherent in human behavior, offering a more nuanced framework for decision-making in high-pressure environments. The distinction between SLIM and Fuzzy SLIM is particularly notable in their application: while SLIM provides a deterministic framework based on historical data, Fuzzy SLIM allows for a probabilistic interpretation of human performance, accommodating varying degrees of uncertainty in operational scenarios. This adaptability is crucial for effective risk management in firefighting, where decisions must often be made quickly and under stress. Notwithstanding their advantages, these methodologies are not without controversy. The implementation of SLIM and Fuzzy SLIM requires careful consideration of training and organizational practices.

نویسندگان

Omid Ebrahimi

Faculty of Health Safety and Environment, HSE University of Applied Science and Technology, Shirin Asal Branch, Tabriz, Iran

Ali Ghodsi Gheshlagh

Department of Fire and Safety Services, University of Applied Science and Technology, Firefighting and Safety Services Unit, Tabriz, Iran

Ali Heydari Feghendis

Department of Fire and Safety Services, University of Applied Science and Technology, Firefighting and Safety Services Unit, Tabriz, Iran

Milad Shaghaghi Ranjbar

Department of Microbiology, Faculty of Microbiology, Islamic Azad University, Tabriz Branch, Tabriz, Iran