A Multi-Variable Regression Model for Ergonomic Lifting Analysis with Digital Humans The University of Iowa

Format:

Conference/Event

Author/Creator:

Mathai, Anith, author.

Conference Name:

Digital Human Modeling for Design and Engineering Symposium (2008-06-17 : Pittsburgh, Pennsylvania, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2008

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2008-01-1909

Access Restriction:

Restricted for use by site license