Digital Human Modeling of the Obese & Aging Population in Automotive Manufacturing
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The Ohio State University / OhioLINK
2015
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1437474997 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu14374749972021-08-03T06:32:07Z Digital Human Modeling of the Obese & Aging Population in Automotive Manufacturing Parthasarathy, Sriya Aging Industrial Engineering Occupational Safety ergonomics digital human modeling obesity aging Digital human modeling (DHM) has become an important tool in several industries, particularly in manufacturing. However, when these models are used, their use is often limited to “50th percentile” males and females. The dimension is typically not explicitly named, but is inferred to be stature. The U.S. population is growing in size and age, which increases the range of abilities and limitations of the workforce. The objective of this study is to improve the understanding of how to better create and utilize digital human models that reflects a worker population that is diverse in stature, weight, and age. Previous research has yet to adequately incorporate this range of human population diversity into human digital modeling used in industrial modeling applications. Through use of CATIA Delmia (Dassault Systemes), a popular digital human modeling software tool, this research investigates how modeling software can be utilized in various ways to depict variations in worker size and age, for planning manual assembly and other work tasks. Validation of the models was assessed through filming, questionnaires, and interviews of workers in an automobile assembly plant. This research shows the limitations of current applications of human modeling with respect to the age, weight, and stature of a diverse worker population and provides suggestions for how to improve modeling. 2015-09-04 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1437474997 http://rave.ohiolink.edu/etdc/view?acc_num=osu1437474997 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Aging Industrial Engineering Occupational Safety ergonomics digital human modeling obesity aging |
| spellingShingle |
Aging Industrial Engineering Occupational Safety ergonomics digital human modeling obesity aging Parthasarathy, Sriya Digital Human Modeling of the Obese & Aging Population in Automotive Manufacturing |
| author |
Parthasarathy, Sriya |
| author_facet |
Parthasarathy, Sriya |
| author_sort |
Parthasarathy, Sriya |
| title |
Digital Human Modeling of the Obese & Aging Population in Automotive Manufacturing |
| title_short |
Digital Human Modeling of the Obese & Aging Population in Automotive Manufacturing |
| title_full |
Digital Human Modeling of the Obese & Aging Population in Automotive Manufacturing |
| title_fullStr |
Digital Human Modeling of the Obese & Aging Population in Automotive Manufacturing |
| title_full_unstemmed |
Digital Human Modeling of the Obese & Aging Population in Automotive Manufacturing |
| title_sort |
digital human modeling of the obese & aging population in automotive manufacturing |
| publisher |
The Ohio State University / OhioLINK |
| publishDate |
2015 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1437474997 |
| work_keys_str_mv |
AT parthasarathysriya digitalhumanmodelingoftheobeseagingpopulationinautomotivemanufacturing |
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