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Simulation methodology for performance and safety evaluationof human–industrial robot collaboration workstation design
School of Innovation, Design and Engineering, Mälardalen University, Eskilstuna / Scania CV AB, Global Industrial Development, Södertälje, Sweden.
School of Innovation, Design and Engineering, Mälardalen University, Eskilstuna.
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Scania CV AB, Global Industrial Development, Södertälje / Department of Industrial and Materials Science, Chalmers University of Technology, Göteborg. (User Centred Product Design)ORCID iD: 0000-0002-7232-9353
School of Innovation, Design and Engineering, Mälardalen University, Eskilstuna.
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2019 (English)In: International Journal of Intelligent Robotics and Applications, ISSN 2366-5971, Vol. 3, no 3, p. 269-282Article in journal (Refereed) Published
Abstract [en]

There is a strong interest in the scope of human–industrial robot collaboration (HIRC) in manufacturing industry for greater flexibility and productivity. However, HIRC in manufacturing is still in its infancy; industrial practitioners have many apprehensions and uncertainties concerning the system’s performance and human operators’ safety. Therefore, there is a need for investigations into design processes and methods to make sure the designed HIRC workstations successfully meet design guidelines on system performance, human safety and ergonomics for practical industrial applications. This research proposes a HIRC workstation design process. The novelty of this design process is the methodology to evaluate the HIRC workstation design alternatives by considering both performance and safety characteristics through computer-based simulations. As a proof of concept, the proposed HIRC design process is applied on an industrial manufacturing case from a heavy-vehicle manufacturing company.

Place, publisher, year, edition, pages
2019. Vol. 3, no 3, p. 269-282
Keywords [en]
Human industrial robot collaboration, Safety, Ergonomics, Collision model, Performance evaluation, Risk assessment
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
INF202 Virtual Ergonomics; User Centred Product Design
Identifiers
URN: urn:nbn:se:his:diva-17646DOI: 10.1007/s41315-019-00097-0ISI: 000486179900003OAI: oai:DiVA.org:his-17646DiVA, id: diva2:1348597
Available from: 2019-09-04 Created: 2019-09-04 Last updated: 2019-10-07Bibliographically approved

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Hanson, Lars

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