A novel approach to ergonomic risk analyses

Abstract

The ergonomics and comfort of employee’s health and working conditions are reflected in the efficiency of the work. For this reason, the analysis and evaluation of ergonomic risks in the working environment is of great importance. A novel REBA-FMEA models-based Pythagorean Fuzzy-VIKOR integrated model approach is introduced to assess ergonomic risks. The proposed methodology incorporates PF-VIKOR methodologies based on integrated REBA-FMEA. The following 10 phases comprise the suggested method. A production line case study was conducted. An assessment is conducted on six distinct hazardous occupational positions. The REBA method is used to compute the risk ratings associated with these hazards. The most optimal outcome in the assessment of multi decision-makers with uncertainty in the risk analysis of ergonomic working positions with the novel technique was obtained by computing Pythagorean fuzzy. The novel model overcomes the limitations of traditional methods with the integration of reliability engineering approaches and Pythagorean fuzzy logic. Assessments of ergonomic risks often involve subjective judgments, especially when considering human factors. Different individuals may perceive risks differently, and this subjectivity can introduce variability into the assessment process. The novel method proposed in this study fills the gap in the literature on the subjectivity of decision makers in evaluations.