A Fuzzy–AHP-Based Occupational Health and Safety Risk Assessment Framework for Tunisia’s Chemical Industry

Occupational Health and Safety (OHS) risk management is an ongoing challenge in resource-scarce chemical industries, especially in developing nations like Tunisia. The current research recommends a hybrid socio-techno-environmental model based on Fuzzy Logic and the Analytic Hierarchy Process (AHP) for occupational health and safety risk assessment and prioritization of occupational health and safety (OHS) risks. The model, based on a backup of expert judgment from pre-specified questionnaires and real data of Tunisian chemical industries, quantifies the risk factors based on criticality and probability of occurrence. Fuzzy–AHP not only evaluates qualitative estimates but also provides a systematic framework for evaluating and prioritizing occupational health and safety risks. Findings are consistent with the fact that socio-organizational factors such as occupational safety culture and compliance among workers play a pivotal role in determining total levels of risk, and in certain cases dominate over technical considerations alone. In offering a scalable and context-sensitive solution, this research has an additional contribution with a decision-support framework that assists organizations in evaluating and prioritizing occupational health and safety risks under uncertain conditions. Its use for policy makers and business interests that seek to maximise OHS performance in given constraints, and its use in actual implementation and compatibility with sustainability and worker health goals, speaks to its utility.