3D fuzzy ergonomic analysis for rapid workplace design and modification in construction

Abstract Accurate ergonomic risk assessment is a key to effective workplace design and modification in construction. However, conventional ergonomic risk assessment methods are time-consuming, error-prone, require human subjects, and are hindered by inter- and intra-observer reliability issues. This paper proposes an automated proactive 3D fuzzy ergonomic risk analysis method that accurately quantifies ergonomic risks of continuous motions for rapid workplace design and modification, addressing all of the aforementioned limitations. A specialized rule-based fuzzy inference algorithm is integrated with 3D automated posture-based ergonomic risk assessments to better capture the gradual transitions characteristic of continuous human motion without abrupt changes in risk ratings. This method is tested in a repetitive lifting experiment, which proves its improved accuracy and reliability for ergonomic risk assessment. The results of the analysis are expected to facilitate the enhancement of safety performance, production performance, and market competitiveness in industrialized construction.