OPERATIONAL AND INTELLIGENT ANALYSIS UNDER THE ERGONOMICS APPROACH OF THE PREVALENCE OF MUSCULOSKELETAL DISORDERS IN CONTAINER OPERATORS
DOI:
https://doi.org/10.23055/ijietap.2023.30.3.8709Keywords:
Musculoskeletal disorders, Ergonomics, Rapid Entire Body Assessment (REBA), Inadequate postures, Machine learning, Quay craneAbstract
This study aims to evaluate the prevalence of musculoskeletal disorders and possibly associated working conditions among dockworkers operating quay cranes. The data on working posture were collected through direct observations, photographs, and videos used in the Rapid Entire Body Assessment. The data on discomfort were collected using the Nordic Musculoskeletal Symptom Questionnaire. First, the questionnaire results showed that musculoskeletal symptoms are highly prevalent, particularly in the lumbar spine, cervical spine, shoulder, and neck. These data were ratified by machine learning analyses that, using logistic regression, achieved a big root mean square error, showing a correlation in the neck, wrists and hands, hip and thigh, and cervical region. Secondly, the final Rapid Entire Body Assessment score was 6, which reveals the median to the high-risk level of worker posture while performing the task.
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