Risk Assessment in Energy Trace and Barrier Analysis (ETBA) Using TOPSIS in Steel Making Plant of Iran National Steel Industrial Group

Background and Objective: Steel manufacturing industry is one of the most dangerous industries worldwide because the steel mill workers are vulnerable to a big deal of hazards regarding the job nature. This study evaluated the risk levels in the steel manufacturing unit of Iran National Steel Industrial Group in 2017. Materials and Methods: Energy trace and barrier analysis were used in order to identify the risks. The data were collected with the help of observation, interviews with workers and experts, questionnaires as well as accidents records in the safety unit. Pairwise Comparison was done and the probability of occurrence of various risk factors was determined by "Fuzzy analytical hierarchy process solver". The obtained score was considered as the risk occurrence probability value. The incident intensity and the controlling systems were also scored. Then, the risks were prioritized based on three factors, namely incident intensity, the probability of occurrence, and control systems using "BT TOPSIS Solver". Results: According to the results, 27 risk factors were specified in terms of safety, health, and the environment. Exposure to the molten materials and gas consumption were ranked the highest (0.9001) and lowest (0.0263), respectively. In addition, the results were categorized based on four risk levels of the high (44%), serious (41%), and medium and low (15%). Conclusion: The most important sorts of energies in steelmaking plant are chemical, heat, and potential. With regard to the risk assessment, safety risks are ranked the highest in terms of priority compared to the health and environmental risks in the steel manufacturing palnt. The administrative solutions were proposed to control and reduce the risks.