SIRT: Expert knowledge-based technological risk analysis in companies (2018)
Making informed business decisions for the prevention, mitigation, and recovery from technological accidents increasingly relies on effective tools and expert knowledge. Industrial processes are inherently complex, requiring management of significant risks under narrow safety margins. This research develops a methodology for technological risk management in companies handling hazardous substances, supported by an information system designed to integrate expert knowledge and aid decision-making. The system is grounded in the methodology for classification and prioritization of serious accident risks and complies with Resolution 148/2013 of Citma. The software is implemented in Java, using SQLite as the database manager and Hibernate for object-relational mapping. It incorporates expert assessments to evaluate hazard processes, accident consequences, frequency of occurrence, and intrinsic vulnerability across different scenarios. To demonstrate its effectiveness, the methodology and system were applied in the business sector of Villa Clara, Cuba, using the Fuel Trading Company as a case study. The application enables comparative analysis of risk across areas, facilities, distribution routes, and territories through a technological risk index. By combining structured expert knowledge with computational support, the system improves information presentation and enhances decision-making in prioritizing preventive and mitigation measures.
Main expert: Lisset Concepción
