Conference proceeding
A Multi-Variable Regression Model for Ergonomic Lifting Analysis with Digital Humans
SAE Technical Paper Series
Digital Human Modeling for Design and Engineering Symposium
06/17/2008
DOI: 10.4271/2008-01-1909
Abstract
The Snook tables (Liberty Mutual Tables) are a collection of data sets compiled from studies based on a psychophysical approach to material-handling tasks. These tables are used to determine safe loads for lifting, lowering, carrying pulling, and pushing. The tables take into account different population percentiles, gender, and frequency of activity. However, while using these tables to analyze a work place, Ergonomists often have to select from discrete data points closest to the actual work place parameters thereby reducing accuracy of results. To compound the problem further, multiple interrelated variables are involved, making it difficult to analyze parameters intuitively. For example, it can be difficult to answer questions such as, does reducing the lifting height lower the recommended lifting weight, if the lifting distance is increased? To resolve such issues, this paper presents a new methodology for implementing the Snook tables using multi variable regression.
Details
- Title: Subtitle
- A Multi-Variable Regression Model for Ergonomic Lifting Analysis with Digital Humans
- Creators
- Anith Mathai - University of IowaJinzengh Li - University of IowaKarim Abdel-MalekLindsey Knake - University of IowaJulie Wisch - University of IowaChristina Godin - USCAR, SandalwoodJim Chiang - Ford Motor Company
- Resource Type
- Conference proceeding
- Conference
- Digital Human Modeling for Design and Engineering Symposium
- Series
- SAE Technical Paper Series
- DOI
- 10.4271/2008-01-1909
- ISSN
- 0148-7191
- eISSN
- 2688-3627
- Language
- English
- Date published
- 06/17/2008
- Academic Unit
- Mechanical Engineering; Stead Family Department of Pediatrics; Roy J. Carver Department of Biomedical Engineering; Neonatology
- Record Identifier
- 9984195165502771
Metrics
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