Please use this identifier to cite or link to this item: doi:10.22028/D291-33542
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Title: Cyber-physical systems and production characteristics - classification and visualization of relationships
Author(s): Illmer, Benjamin
Vielhaber, Michael
Editor(s): Gao, Robert X.
Ehrmann, Kornel
Language: English
Title: Procedia CIRP
Startpage: 186
Endpage: 191
Publisher/Platform: Elsevier
Year of Publication: 2020
Place of publication: Amsterdam
Title of the Conference: CIRP CMS 2020
Place of the conference: Chicago, Illinois, USA
Publikation type: Conference Paper
Abstract: Future possibilities for manufacturing companies using cyber-physical systems (CPS) are often described by production characteristics, which however existed long before CPS. Therefore, this paper deals with the unambiguous identification and structuring of CPS descriptive production properties to develop a common understanding across papers and makes a proposal in the form of a classification system for production characteristics, which are established in scientific literature. The paper presents an identification method consisting of a distance-based network visualization to describe the relationship between CPS and production characteristics as an overall result of a comprehensive reference analysis, which is capable of representing the current state of science.
DOI of the first publication: 10.1016/j.procir.2020.04.077
URL of the first publication: https://www.sciencedirect.com/science/article/pii/S2212827120306909
Link to this record: hdl:20.500.11880/30885
http://dx.doi.org/10.22028/D291-33542
ISSN: 2212-8271
Date of registration: 15-Mar-2021
Notes: Procedia CIRP, Volume 93, 2020, Pages 186-191
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Michael Vielhaber
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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