@article{article_1019884, title={Reducing the Musculoskeletal Disorders-induced Production Employee Absenteeism Through the Cornell Musculoskeletal Discomfort Questionnaire and Ordinal Logistic Regression Model}, journal={Gazi Journal of Engineering Sciences}, volume={7}, pages={330–345}, year={2021}, author={İnci, Duygu and Sezer, Mürüvvet Deniz and Güngör, Bengü and Ergönenç, Pırıl}, keywords={Automotive industry, Cornell Musculoskeletal Discomfort Questionnaire, Ergonomics analysis, Logistic Regression Analysis, Musculoskeletal disorders}, abstract={Today, the overworked workforce situation is getting more prevalent that may result in impair human motivation and health in the workplace. Increased musculoskeletal disorders, especially among production employees, are caused by increased production activities brought on by a more competitive economy. Therefore, the aim of this study is to conduct an ergonomics analysis in order to reduce absenteeism caused by musculoskeletal system disorders during machining in an automotive sub-industrial company. As a consequence of the workshop attended by the relevant project team workers within the company, non-ergonomic working conditions were determined at first. These defined conditions were also specified as the independent variables for the analysis section. The "Musculoskeletal Discomfort Questionnaire," developed by Cornell University, was employed as a data collecting method for the investigation of the effect of independent variables on the dependent variable, local pain status. The effects of independent variables on local pain status were analysed using Logistic Regression Analysis via the IBM SPSS Statistics 25.0 program. Following the statistical examination, the analytical outputs were validated by expert feedback with the company’s relevant team workers. In the implementation phase, the company aims to reduce production employee absenteeism due to the musculoskeletal system disorders by taking precautions.}, number={3}, publisher={Parantez Teknoloji}