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Integrating Physical Load Exposure Calculations and Recommendations in Digitalized Ergonomics Assessment Processes
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Global Industrial Development, Scania CV AB, Sweden. (User Centred Product Design (UCPD))ORCID iD: 0000-0002-7232-9353
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))ORCID iD: 0000-0003-4596-3815
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))ORCID iD: 0000-0002-3129-7076
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))ORCID iD: 0000-0002-2915-8923
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2022 (English)In: SPS2022: Proceedings of the 10th Swedish Production Symposium / [ed] Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm, Amsterdam; Berlin; Washington, DC: IOS Press, 2022, p. 233-239Conference paper, Published paper (Refereed)
Abstract [en]

The type of ergonomics assessment methods typically used in digital human modelling (DHM) tools and automated assessment processes were rather developed to be used by ergonomists to assess ergonomics by observing the characteristics of the work. Direct measurement methods complement observation methods. Direct measurement methods have a design that suits being implemented into DHM tools. A drawback of direct measurement methods is that they traditionally do not include action levels. However, action levels in direct measurement methods have recently been suggested. The aim of this paper is to illustrate how these recent physical load exposure calculations and recommendations can be integrated in a DHM tool and in an automated assessment process. A demonstrator solution was developed that inputs exposure data from simulations in the DHM tool IPS IMMA as well as exposure data that originate from tracking real workers’ motions, using the motion capture system Xsens MVN. The demonstrator was applied in two use cases: one based on predicted human motions and one based on captured human motions. In the demonstrator, head posture, upper left and right arm posture and velocity, as well as left and right wrist velocity were calculated. Exposure data were compared with action levels, and extreme action levels were indicated by colouring the information. The results are promising, and the demonstrator illustrates that it is possible to follow the trends in Industry 4.0 and Industry 5.0 to automate and digitalize ergonomics assessment processes in industry.

Place, publisher, year, edition, pages
Amsterdam; Berlin; Washington, DC: IOS Press, 2022. p. 233-239
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 21
Keywords [en]
Action levels, digital human modelling, motion capture, ergonomics assessments
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Interaction Lab (ILAB); VF-KDO
Identifiers
URN: urn:nbn:se:his:diva-21095DOI: 10.3233/ATDE220142ISI: 001191233200020Scopus ID: 2-s2.0-85132799923ISBN: 978-1-64368-268-6 (print)ISBN: 978-1-64368-269-3 (electronic)OAI: oai:DiVA.org:his-21095DiVA, id: diva2:1655097
Conference
10th Swedish Production Symposium (SPS2022), Skövde, April 26–29 2022
Part of project
Synergy Virtual Ergonomics (SVE), Knowledge FoundationVIVA - the Virtual Vehicle Assembler, Vinnova
Funder
Knowledge FoundationVinnova
Note

CC BY-NC 4.0

lars.hanson@scania.com

This research was carried out within the VF-KDO profile (Virtual Factories with Knowledge-Driven Optimization) and the Synergy project Virtual Ergonomics, both funded by the Knowledge Foundation, as well as the VINNOVA-funded project VIVA – Virtual Vehicle Assembler. 

Available from: 2022-04-29 Created: 2022-04-29 Last updated: 2024-05-17Bibliographically approved

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Hanson, LarsHögberg, DanIriondo Pascual, AitorBrolin, AnnaBrolin, ErikLebram, Mikael

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