A neuro-fuzzy algorithm for assessment of health, safety, environment and ergonomics in a large petrochemical plant

• This study proposes a new approach for assessment of HSE.
• The proposed neuro-fuzzy approach is applied in a petrochemical.
• Standard questionnaires with respect to HSE are completed by operators.
• The algorithm identifies efficient operators with respect to HSE.
• This is the first intelligence algorithm for assessment and improvement of HSE program.

Process plants such as petrochemical units have been continuously trying to improve Health, Safety, Environment and Ergonomics (HSEE) programs. This study proposes an adaptive network-based fuzzy inference system (ANFIS) for assessment of HSEE programs in a petrochemical plant. The proposed neuro-fuzzy approach is applied to a set of operators in the petrochemical unit to show its applicability and superiority. To achieve the objectives of this study, standard questionnaires with respect to HSEE are completed by operators. The average results for each category of HSEE are used as inputs and accomplishment of HSEE programs is used as output for the algorithm. Moreover, this algorithm is used to rank operators performance with respect to HSEE. Finally, the algorithm identifies efficient operators with respect to HSEE. This is the first study that introduces an intelligence algorithm for assessment and improvement of HSEE program in a petrochemical plant.