Authors: Nadia Rego Monteil, David del Rio Vilas, Diego Crespo Pereira, Rosa Rios Prado
An effective manufacturing workstation design should jointly consider both operational and ergonomic characteristics. Accordingly, the desirability of candidate solutions should rely on the definition and combined assessment of multiple Key Performance Indicators (KPIs). Digital Human Modelling and Simulation (DHMS) provides with a powerful tool capable to precisely recreate and assess human tasks in terms of single and separately treated performance measures. However, the lack of consensus in the adoption of ergonomic parameters and the need of integrating methods have been reported as a fundamental shortcoming when conducting an overall systematic data results analysis. Under an engineering approach, we propose the employment of a control chart integrating biomechanical, postural and operational performance indicators in a continuous framework as well as a Desirability Function (DF) allowing the comparison of several alternative designs. A DHMS-based case study of a manual task in the natural roofing slate manufacturing process is presented.