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Simulation methodology for performance and safety evaluation of human-industrial robot collaboration workstation design
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Scania CV AB, Global Ind Dev, S-15187 Sodertalje, Sweden.ORCID iD: 0000-0002-2401-0380
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
Scania CV AB, Global Ind Dev, S-15187 Sodertalje, Sweden.;Univ Skovde, Sch Engn Sci, S-54128 Skovde, Sweden.;Chalmers Univ Technol, Dept Ind & Mat Sci, S-41296 Gothenburg, Sweden..
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0001-7935-8811
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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
Mechanical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-45373DOI: 10.1007/s41315-019-00097-0ISI: 000486179900003OAI: oai:DiVA.org:mdh-45373DiVA, id: diva2:1357331
Available from: 2019-10-03 Created: 2019-10-03 Last updated: 2019-10-03Bibliographically approved

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Ore, FredrikReddy Vemula, BhanodayWiktorsson, MagnusFagerström, Björn

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