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The Virtual World: A Challenge for On-Site Action in Ergonomics Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Ergo4All: An Ergonomic Guidance Tool for Non-ergonomist

Authors : Quentin Bourret, Julie Charland, Daniel Imbeau, David Brouillette, Jean-Baptist Djire

Published in: Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021)

Publisher: Springer International Publishing

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Abstract

Occupational Ergonomics related aspects have a significant impact in the manufacturing world, from Musculoskeletal Disorders (MSD) to quality issues; it is an important knowledge domain in manufacturing organizations.
This paper presents a new decision tree called Ergo4All™ aimed at giving ergonomic guidance to manufacturing engineers while designing workstations in 3D. Combined with the Smart Posturing Engine™ (SPE™) technology, which generates posture automatically in a 3D environment, Ergo4All™ analyses the potential risk of developing MSD by workers. It then provides guidance to the user on changes to the workstation that will lower the ergonomics risks.
The goal of this decision tree is to provide simple ergonomic guidance to engineer that do not have training in ergonomics.
The Ergo4All™ decision tree was designed as a rapid assessment tool for people designing workstations early in the virtual design process. This by no means replaces the expertise of a certified ergonomist.

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previous chapter A Systemic Overview of Factors Affecting the Cognitive Performance of Industrial Manual Assembly Workers
next chapter Development of Cooperative Artificial Intelligence (AI) Applications to Support Human Work in Manufacturing
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Metadata
Title
Ergo4All: An Ergonomic Guidance Tool for Non-ergonomist
Authors
Quentin Bourret
Julie Charland
Daniel Imbeau
David Brouillette
Jean-Baptist Djire
Copyright Year
2021
Book
Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021)

Print ISBN: 978-3-030-74607-0

Electronic ISBN: 978-3-030-74608-7

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-74608-7_48