From unstructured accident reports to a hybrid decision support system for occupational risk management: The consensus converging approach

• Published in: Journal of safety research Vol. 89; pp. 91 - 104
• Main Authors: Gangadhari, Rajan Kumar, Rabiee, Meysam, Khanzode, Vivek, Murthy, Shankar, Kumar Tarei, Pradeep
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.06.2024
• Subjects: Accident Prevention - methods; Accidents - statistics & numerical data; Best Worst Method; Data Mining; Decision Support System; Decision Support Techniques; Electronic Data Processing; Group Decision Making; Humans; Information processing; Machine Learning; Occupational Health; Occupational Risk Prioritization; Oil and Gas Industry - statistics & numerical data; Risk Management - methods; Text mining; Workplace - standards; Workplace - statistics & numerical data; Text mining; Decision Support System; Group Decision Making; Occupational Risk Prioritization; Best Worst Method; Information processing

•A decision-making framework to manage occupational risks in petroleum industries.•A novel measure of risk by integrating both objective and subjective measures.•NLP is used on unstructured accident reports to derive the objective weights.•An optimization-based group decision making framework is pro...