Abstract
Occupational health and safety practices continue to improve, but accidents and occupational health issues continue to cause problems for management and employees. Although psychosocial risks and hazards have substantial adverse effects, they are often overlooked in most risk assessment practices. The objective of this work is to assess the employee psychosocial risks by a case study using the COPSOQII questionnaire at a metal processing plant. Inputs from COPSOQII questionnaire were used to assess psychosocial hazards in Fine Kinney analysis. The Fine-Kinney method contains fuzzy decisions. This uncertainty is resolved by using the ANFIS (Adaptive Neuro-Fuzzy Inference System) module. Results of the ANFIS model indicate that when actual risks and those predicted by the model are compared, the model could predict the risk scores with high accuracy.
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Baç, N., Ekmekci, I. (2020). Psychosocial Risk Assessment by Fine Kinney and ANFIS Method: A Case Study in a Metal Processing Plant. In: Arezes, P., Boring, R. (eds) Advances in Safety Management and Human Performance. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1204. Springer, Cham. https://doi.org/10.1007/978-3-030-50946-0_12
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DOI: https://doi.org/10.1007/978-3-030-50946-0_12
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