Affiliation:
1. Department of Industrial and Mechanical Engineering, University of Wisconsin, Platteville, Wisconsin
2. Department of Industrial Engineering, Texas Tech University, Lubbock, Texas
Abstract
Two categories of prediction models have been developed. Category one models predict isometric shoulder strength, leg strength, arm strength, back strength, and composite strength of male and female industrial workers based upon operator characteristics (age, sex, and anthropometric variables). Category two models predict lifting capacity of male and female industrial workers by utilizing their individual and anthropometric characteristics. The lifting capacity models can be used to predict the amount of weight an individual can lift for different height ranges at various frequencies of lift. A high multiple partial correlation coefficient (r≥. 0.95) was obtained when lifting capacity models were used to predict the amount of weight an individual can handle by using his predicted isometric strengths (from category one models) and personal characteristics (age, sex, and anthropometric variables).
Subject
Behavioral Neuroscience,Applied Psychology,Human Factors and Ergonomics
Cited by
70 articles.
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