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Virtual Reality and Digital Human Modeling for Ergonomic Assessment in Industrial Product Development: A Patent and Literature Review

The late detection of ergonomic component assembly issues during manufacturing processes has an influence on operator well-being and productivity, as well as having a high cost of correction. Although virtual reality may enhance digital human modeling, there is a knowledge gap on the combination of...

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Bibliographic Details
Published in:Applied sciences 2022-02, Vol.12 (3), p.1084
Main Authors: da Silva, Adailton Gonçalves, Mendes Gomes, Marcus Vinicius, Winkler, Ingrid
Format: Article
Language:English
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Summary:The late detection of ergonomic component assembly issues during manufacturing processes has an influence on operator well-being and productivity, as well as having a high cost of correction. Although virtual reality may enhance digital human modeling, there is a knowledge gap on the combination of these technologies to assess ergonomics. This study aims to analyze the application of virtual reality and digital human modeling for physical ergonomics assessment during product development in the industry, through a review of patents and the literature. We searched the Derwent Innovation Index, Scopus, and Web of Science databases and found 250 patents and 18 articles. We observed an exponential increase in patents, concentrated among major technological players, and a wide range of technologies being invented. A significant number of studies focuses on the automotive and aviation industries. Despite a relative consensus in the literature on the benefits of integrating virtual reality and digital human modeling to assess physical ergonomics in the early stages of product development, the technologies are seldom combined in the same analysis; moreover, most cases continue to focus on analyzing pre-designed production processes, when resources are completely deployed. These outcomes may provide a reference for practitioners and researchers to develop novel solutions for the early detection of physical ergonomics issues in the industry.
ISSN:2076-3417
2076-3417
DOI:10.3390/app12031084