Ergonomic analysis in nuclear decommissioning: A comprehensive path planning strategy for workers well-being

Abstract

Recent studies on path planning in nuclear decommissioning focus on efficient algorithms, often overlooking workers’ physical and cognitive well-being. However, there is a need to consider the effect of the paths recommended by algorithms on workers’ health to prevent work-related musculoskeletal disorders. This study introduces a computational dynamic body map tool designed to assess and monitor musculoskeletal disorders (MSDs) among workers in high-risk decommissioning environments. Utilizing color-coded body maps, the study identifies key ergonomic risk factors and their impact on different body parts. The strategy begins by identifying job tasks requiring ergonomic assessment, distilling the tasks into different activities and the time spent on each activity, and using the result to dynamically compute the average pain severity experienced by workers across different body parts. Subsequent body mapping, hazard surveys, and structured interviews are used to rank workplace risks and worker-specific risk factors. The major contribution of this work is the development of a computational dynamic tool to regularly track worker body maps regularly, ensuring optimal performance. To evaluate the proposed strategy, the study utilized data from a 35-response online MSD questionnaire for safety professionals. To demonstrate the methodology across diverse roles, 10 worker examples were analyzed, aligning with 5 key IAEA nuclear decommissioning categories. Analysis of the computational dynamic body map data reveals specific pain distributions among workers. The most severe pain occurs in the lower back (13.08 %), followed by the right wrist/hand (10 %), the right shoulder, the left elbow (8.46 % each), the left shoulder, the upper back (7.69 % each), the neck and the left wrist/hand (6.92 % each). The findings further reveal that the 36–45 years age category experiences the most pain. In addition, awkward posture was found in the study to be the most likely ergonomic risk factor affecting workers. The results show that incorporating ergonomics into path planning aids risk-informed decision-making for ergonomic interventions and continuous monitoring to maintain a safe and healthier workplace. Integrating the tool presented in this work with a conventional path-planning algorithm provides a comprehensive path-planning strategy for nuclear decommissioning.