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Demonstrators to support research in Industrial safety - A Methodology
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-9539-2163
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-1646-5817
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
2018 (English)In: 28TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2018): GLOBAL INTEGRATION OF INTELLIGENT MANUFACTURING AND SMART INDUSTRY FOR GOOD OF HUMANITY, ELSEVIER SCIENCE BV , 2018, Vol. 17, p. 246-253Conference paper, Published paper (Refereed)
Abstract [en]

Activities to support manufacturing research are carried out with the intention to gain knowledge of industrial problems and provide solutions that addresses these issues. In order for solution to be viable to the industry, research activities are carried out in close collaboration with participants from the industry, academia and research institutions. Interactive research approach motivates participants with multi-disciplinary perspective to collaborate and emphasizes joint learning in the change process. This article, presents a methodology, where participants with different expertise can collaborate to develop safety solutions. The concept of a demonstrator, which represents cumulative result of a series of research activities, is presented as a tool to showcase functioning and design intent in a collaborative research environment. The results of a pilot study, where manufacturing professionals evaluated design decisions that resulted in a demonstrator, will be presented. (C) 2018 The Authors. Published by Elsevier B.V.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2018. Vol. 17, p. 246-253
Series
Procedia Manufacturing, ISSN 2351-9789
Keywords [en]
Collaborative robots; Industrial Safety; University-Industry Collaboration; Risk Assessment
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:liu:diva-158894DOI: 10.1016/j.promfg.2018.10.043ISI: 000471035200031OAI: oai:DiVA.org:liu-158894DiVA, id: diva2:1337570
Conference
28th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM) - Global Integration of Intelligent Manufacturing and Smart Industry for Good of Humanity
Available from: 2019-07-16 Created: 2019-07-16 Last updated: 2019-07-16

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Gopinath, VarunJohansen, KerstinDerelöv, Micael
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