A Fuzzy Analytic Hierarchy Process‑TOPSIS Framework for Prioritizing Emergency in a Petrochemical Industry

Petrochemical industry has experienced a variety of accidents and the number of emergency situation in this industry is high. Therefore, prioritizing these situations is important. The aim of this study was to determine the effective criteria for the selection of emergency scenario and prioritize them for corrective actions. Subjects and

Delphi technique was used to determine and prioritize the appropriate criteria for the selection of high‑risk emergency scenarios. Then, the weights of selected criteria were obtained using fuzzy hierarchical analysis and finally, using the fuzzy TOPSIS technique, the criteria for emergency scenarios were prioritized for corrective actions.

The most important criteria for the selection of dangerous emergencies included the amount of loss, damage, and probability. According to the weight of these criteria, emergency situations were prioritized. The most important emergencies included fire in the chemical storage, hydrogen leakage at the cylinder fitting in the Alfin unit, and extreme gas leakage in one of the power plant turbines.

Using this approach, high‑priority emergencies can be identified, and it is suggested that planning for controlling these situations and preventing crises should be prioritized by managers.