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

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 t...

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Bibliographic Details
Published inComputer supported cooperative work Vol. 28; no. 3-4; pp. 469 - 509
Main Authors Hoffmann, Sven, de Carvalho, Aparecido Fabiano Pinatti, Abele, Darwin, Schweitzer, Marcus, Tolmie, Peter, Wulf, Volker
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.06.2019
Springer Nature B.V
Subjects
Computer Science
Cyber-physical systems
Data exchange
Psychology
Social Sciences
Supply chains
User Interfaces and Human Computer Interaction
cyber-physical systems
expertise sharing
augmented reality
knowledge sharing
manufacturing context
sensor technology
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Summary: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.
ISSN:0925-9724
1573-7551
DOI:10.1007/s10606-019-09355-y