Health and productivity impact of semi-automated work systems in construction

Abstract Variability of construction sites and tasks make their automation prohibitively complex. Workers continue to carry out physically demanding tasks which adversely affect their health, safety, and productivity. The flexibility of semi-automated work systems, where operators work in conjunction with machines and robots, is an attractive alternative. It is critical to estimate the anticipated effectiveness of these interventions before integrating them into the current work processes. This study proposes a systematic and objective methodology to assess the value of a semi-automated work system in a construction context, as it pertains to reduced exposure to musculoskeletal disorder risks and productivity improvements. Additional assessments are also suggested for a complete analysis of efficacy. The proposed methodology was validated through an experimental evaluation of a force-assist self-leveling pallet in a masonry task. It provides an objective evaluation of impact on the task showing 40% reduction in joint loads and 10% increase in productivity.