The Importance of Integrated Input Data for the Digitalized Model of Textile Workers’ Wellbeing

The research task of the paper is to compile the input data system for the artificial intelligence (AI) model to implement in the textile industry. The methods employed for the purpose are: 1) analysis of the scientific literature in this field over the world, including Estonia and Latvia; 2) analysis of models previously created by the authors of the current paper taking into account the climate conditions in the workplaces; 3) the assessment of the work-related musculoskeletal disorders; 4) the analysis of the opinion of the workers’ on the working conditions and their health complaints connected with work; 5) the measurements of working conditions at Latvian and Estonian textile workplaces. Work-related musculoskeletal disorders (WRMSDs) are the most common workplace health hazards among sewing, ironing and packing workers, which can be caused by repetitive work, static posture, monotonous work, etc. The key result is that the model for AI input data was compiled, which consists of 3 parts: 1) operating working environment factors influencing people, the influence of them on the organ systems, functional stages of occupational disorders, loss of work capacity; 2) computer software on textile workers; 3) possible preventive actions. The significance of the findings – a better work environment is organized for the textile workers with the AI model.