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

作者：Azadeh A^*; Saberi M; Rouzbahman M; Valianpour F

来源：Journal of Loss Prevention in the Process Industries, 2015, 34: 100-114.

DOI：10.1016/j.jlp.2015.01.008

• Health safety
• Environment and ergonomics (HSEE)
• Adaptive network based fuzzy inference system (ANFIS)
• Human operators
• Performance assessment
• Petrochemical plants

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.

• 出版日期2015-3