Please use this identifier to cite or link to this item: https://dl.eusset.eu/handle/20.500.12015/3297
Title: Cyber-Physical Systems for Knowledge and Expertise Sharing in Manufacturing Contexts: Towards a Model Enabling Design
Authors: Hoffmann, Sven Christopher
de Carvalho, Aparecido Fabiano Pinatti
Abele, Darwin
Schweitzer, Marcus
Tolmie, Peter
Wulf, Volker
Keywords: knowledge sharing;expertise sharing;manufacturing context;cyber-physical systems;augmented reality;sensor technology
Issue Date: 2019
Publisher: Springer, London
metadata.dc.relation.ispartof: Computer Supported Cooperative Work - ECSCW 2019: Proceedings of the 17th European Conference on Computer Supported Cooperative Work
Series/Report no.: ECSCW
Abstract: Cyber-physical systems (CPS) are currently attracting a great deal of attention as a part of the discourse surrounding the fourth industrial revolution. Thus far, the chief focus has been upon complex architectures for supply chain-wide data exchange between intelligent machines. Here, however, we take a very different tack by examining the support CPS may offer for the exchange and acquisition of knowledge-intensive human practices in the context of manual set-up processes on modern production machines. The paper offers contributions to both CSCW and the ongoing development of CPS in three ways. Firstly, it presents a detailed empirical study of knowledge and expertise sharing practices in a production environment. Secondly, the results of this study are used as the basis of an over-arching model that was developed with the express purpose of facilitating design. Finally, CPS-based technical possibilities are matched to the practice-relevant knowledge and expertise sharing requirements captured within the model.
metadata.dc.identifier.doi: 10.1007/s10606-019-09355-y
URI: https://hdl.handle.net/20.500.12015/3297
ISSN: ISSN 0925-9724
metadata.mci.conference.sessiontitle: Full Papers
metadata.mci.conference.location: Salzburg, Austria
metadata.mci.conference.date: 8 - 12 June 2019
Appears in Collections:ECSCW 2019 Long Papers

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.