Predictive Analysis of Cognitive Errors of Control Room Operators: a Case Study in a Petrochemical Industry

Abstract

Background and Objectives: In recent decades, several major accidents have occurred in high-reliability industries such as petrochemical companies. Accident analysis shows that the occurrence of more than 90% of accidents in industries are due to human factor and only with technical-engineering measures and the establishment of safety rules and regulations can not be institutionalized safe behaviors in such industries. Therefore, despite a slight reduction in human presence in these industries, the potential for human error risks is still high. The aim of this study was to identify and assess human errors in a petrochemical plant using the technique for the retrospective and predictive analysis of cognitive errors (TRACEr).