Risk Management in the Transport of Dangerous Goods in Hungary: A Statistical and FMEA-Based Case Study on Bitumen Transportation

Risk management in the transportation of dangerous goods is critical for safeguarding human health, the environment, and infrastructure.This study explores systematic methodologies for risk assessment in the context of hazardous materials transit, with a particular focus on the transport of bitumen in Hungary.Key techniques, including Failure Mode and Effect Analysis (FMEA), Hazard and Operability Analysis (HAZOP), and Bow-Tie Analysis, are employed to identify, evaluate, and prioritize risks associated with the transportation process.These approaches enable the systematic breakdown of potential failure points, the evaluation of their effects, and the identification of mitigation strategies.The case study on bitumen transport highlights several significant risk factors, including operational failures, human errors, and vehicle-related incidents.The analysis reveals the importance of robust safety measures, such as enhanced driver training, real-time monitoring systems, and comprehensive documentation protocols, in reducing the likelihood and impact of such incidents.Furthermore, the study advocates for the continuous improvement of risk assessment procedures, emphasizing the need for adaptation to evolving regulatory standards and emerging challenges in hazardous materials transport.The findings underscore the importance of a proactive safety culture that integrates both technical solutions and organizational practices, ensuring a comprehensive approach to risk management in the transport of dangerous goods (TDG).

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Publication Details

Journal
Journal of Engineering Management and Systems Engineering
Published
2024-12-18
DOI
https://doi.org/10.56578/jemse030405
Primary Topic
Risk and Safety Analysis
Type
article
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article

Risk Management in the Transport of Dangerous Goods in Hungary: A Statistical and FMEA-Based Case Study on Bitumen Transportation

Ágota Drégelyi-Kiss, Georgina Nóra Tóth, András Horváth, Gabriella Farkas
Journal of Engineering Management and Systems Engineering
Risk and Safety Analysis
article

Risk Management in the Transport of Dangerous Goods in Hungary: A Statistical and FMEA-Based Case Study on Bitumen Transportation

Ágota Drégelyi-Kiss, Georgina Nóra Tóth, András Horváth, Gabriella Farkas
article en

Abstract

Risk management in the transportation of dangerous goods is critical for safeguarding human health, the environment, and infrastructure.This study explores systematic methodologies for risk assessment in the context of hazardous materials transit, with a particular focus on the transport of bitumen in Hungary.Key techniques, including Failure Mode and Effect Analysis (FMEA), Hazard and Operability Analysis (HAZOP), and Bow-Tie Analysis, are employed to identify, evaluate, and prioritize risks associated with the transportation process.These approaches enable the systematic breakdown of potential failure points, the evaluation of their effects, and the identification of mitigation strategies.The case study on bitumen transport highlights several significant risk factors, including operational failures, human errors, and vehicle-related incidents.The analysis reveals the importance of robust safety measures, such as enhanced driver training, real-time monitoring systems, and comprehensive documentation protocols, in reducing the likelihood and impact of such incidents.Furthermore, the study advocates for the continuous improvement of risk assessment procedures, emphasizing the need for adaptation to evolving regulatory standards and emerging challenges in hazardous materials transport.The findings underscore the importance of a proactive safety culture that integrates both technical solutions and organizational practices, ensuring a comprehensive approach to risk management in the transport of dangerous goods (TDG).

Journal of Engineering Management and Systems EngineeringVol. 3(4)
Buda Health Center (HU)
Decent work and economic growth
Openalex Percentile: Top 76%
Risk and Safety Analysis
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