Theses and Dissertations

Katie Brandon

Issuing Body

Mississippi State University

Advisor

Brown, Larry G.

Committee Member

Smyer, William

Committee Member

Bullington, Stanley F.

Date of Degree

8-3-2002

Original embargo terms

MSU Only Indefinitely

Document Type

Graduate Thesis - Campus Access Only

Major

Industrial Engineering

Degree Name

Master of Science

College

College of Engineering

Department

Department of Industrial Engineering

Abstract

This research is to validate a risk assessment model?s ability to predict work-related musculoskeletal disorders (WMSDs). The model looks at the primary risk factors of repetition, force, deviated posture, tool design, duration, and frequency. The sum of the ratings for each factor is the risk assessment score for the person doing a certain job task. According to the score, the task is rated as a ?no risk? to an ?extreme risk? task. The data used for this research was from an epidemiological study preformed at a fish processing facility. To validate the model, the scores from the risk assessment model were compared to the operators? severity and frequency of pain in the median nerve distribution of the hand and to previous risk model. The statistical tests show that the risk assessment model can predict if the operator performing a task is at risk for forming a WMSD.

URI

https://hdl.handle.net/11668/20232

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