Cyber-Physical Systems for Knowledge and Expertise Sharing in Manufacturing Contexts: Towards a Model Enabling Design

dc.contributor.authorHoffmann, Sven
dc.contributor.authorde Carvalho, Aparecido Fabiano Pinatti
dc.contributor.authorAbele, Darwin
dc.contributor.authorSchweitzer, Marcus
dc.contributor.authorTolmie, Peter
dc.contributor.authorWulf, Volker
dc.description.abstractCyber-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
dc.relation.ispartofComputer Supported Cooperative Work (CSCW): Vol. 28
dc.relation.ispartofseriesComputer Supported Cooperative Work (CSCW)
dc.subjectaugmented reality
dc.subjectcyber-physical systems
dc.subjectexpertise sharing
dc.subjectknowledge sharing
dc.subjectmanufacturing context
dc.subjectsensor technology
dc.titleCyber-Physical Systems for Knowledge and Expertise Sharing in Manufacturing Contexts: Towards a Model Enabling Designde
dc.typeText/Journal Article