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Introduction: One of the essential and critical elements for efficient and effective management of emergencies is anticipation and identification of possible types of emergencies. As such, a framework for anticipating and identifying emergencies was designed and tested in two process industries in the form of a case study. Material and Methods: At first, methods for identifying emergency preparedness and their evaluation criteria were extracted and prioritized with a two-stage fuzzy approach. A fuzzy inference system was then used to calculate the weight of the experts’ opinions. To prioritize the methods, the inputs related to the second fuzzy system were estimated and the final score of the methods was calculated by entering the mentioned variables into the fuzzy system. Results: The findings pertaining to the final ranking of the methods indicated that, “list of catastrophic accidents and near-misses of the organization’s lifespan”, “MIMAH” and “risk assessment and management” had the highest scores among the identified methods with the final scores of 0.754, 0.750 and 0.725, respectively. Conclusion: Using this approach will help in more accurate identification of potential emergencies. Consequently, this will lead to the prevention of imposed damages caused by the situation as well as making the wrong investments by eliminating low-priority emergencies.

Introduction: Emergencies are unforeseen and unpredictable situations. In these situations, people’s performance is affected by various factors that cause stress. People’s performance in such situations can also affect human error probability. The purpose of this study was to evaluate human error in emergency situations based on the fuzzy CREAM and Fuzzy Analytical Hierarchy Process (FAHP). Material and Methods: This descriptive-analytical study was performed in a petrochemical industry in Markazi province in 2019. The FAHP was used to prioritize emergency situations. To evaluate human error in these conditions, the weights of Common Performance Conditions (CPC) was determined using Analytical Hierarchy Process (AHP) method. Human error probability was calculated using a fuzzy CREAM method in the most important emergency situations. Results: The results of the FAHP showed that “Hydrogen leak from the cylinder joints in the olefin unit” was the most important emergency. The highest relative weight was related to crew collaboration quality (0.06) in the emergency situation. Conclusion: This method can also be used to identify the important factors in human error occurrence and high weighted CPCs and plan to control them.

Introduction: Safety situation awareness is an important element affecting operatorchr('39')s reliability and safety performance, which is influenced by various variables. Identification of these variables and their relationship will play a major role in optimizing control measures. The present study was conducted for this purpose. Material and Methods: This study was based on the situation awareness, expert’s opinions and use of a Fuzzy multi-criteria decision-making method. Triangular fuzzy numbers was used to quantify the expertschr('39') judgments and to reduce the errors that result from theirs’ subjective evaluation on the relationships between the variables. Results: The results showed that the studied organizational variables together with "safety/g knowledge" and "experience in job/specific task” are the most important predictive variables of situation awareness. Among the organizational variables, "Organizational Safety Attitudes", "Safe System Design" and "Education" are the most important determinants of safety situation awareness. Conclusion: Fuzzy logic was used to aggregate expert opinions to determine the most important variables affecting situation awareness and their cause-effect relationships. Organizational variables are the main determinants of situation awareness. To improve situation awareness, the best results are obtained by modifying effective root variables, i.e., organizational variables and some individual variables.