Occupational
Ergonomics and Biomechanics Laboratory
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Sponsor: UAW-DaimlerChrysler Committee for Occupational Health This project develops a detailed analysis tool for motor vehicle manufacturing job factors to prevent upper limb musculoskeletal disorders. Data considered for the analysis include specific job factors, forces required, loads handled by the operator, and visual observations of posture from video tapes inputted to the computer interactively using multimedia software and a computer-controlled VCR. The analysis is applied at the elemental level of detail and designed to be performed using widely available, and relatively inexpensive microcomputer and video equipment for rapidly and precisely quantifying repetition and duration of forces exerted and postures assumed. We have already successfully developed and evaluated the multimedia software needed for this study. In addition to the job analysis methodology, an accompanying risk model is constructed for evaluating the probability of musculoskeletal disorders from regular exposure to the physical stress factors and interactions, as quantified using the new detailed analysis method. The model will be developed using Chrysler injury data, and validated on a subset of the data collected for this study. The job analysis tool is intended for jobs identified for further analysis, based on proactive risk factor surveys or previous reports of injuries, and will be designed to have better specificity than checklists by measuring individual and combinations of job factors that are best predictive of musculoskeletal disorders. The multimedia analysis software can be easily installed in facilities that have available a microcomputer, a video cassette player, and video camera, and will be designed to be implemented by personnel who are experienced in ergonomics job analysis with minimum training. The outcome will be an efficient detailed job analysis instrument for identifying specific aspects of the job where ergonomic interventions are indicated, in addition to quantitatively evaluating alternative work methods and modifications. Ultimately this research will demonstrate the utility of such detailed analysis in automobile manufacturing jobs.
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