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Basic Methodology for Cyber Physical System Modelling

  • Nowadays, the market for information and communication technologies used for IOT-applications grows daily. Since companies need technologies to transform their business processes corresponding to the digital revolution, they need to know which technologies are available, and fit the best for their use case. Their inertial issue is the lacking overview of technologies suitable to connect their production or logistics. Hence, this paper presents a methodology to select technologies (and combinations) based on their functions. It differentiates between information and communication technologies, digital technologies and connecting technologies by the physical function and its role in a cyber-physical system. Depending on the use case, the applicability of every technology varies. Due to that reason, the paper illustrates a ranked qualification of the technologies for typical use cases, focussing tracking and tracing issues in the intralogistics of producing companies. The evaluation is performed upon a literature research, a market study to identify suitable technologies, and various expert interviews to assess the applicability of the technologies.

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Metadaten
Verfasserangaben:Anne BernardyGND, Felix JordanGND, Günther SchuhORCiDGND, Volker StichORCiDGND, Violett ZellerGND
DOI:https://doi.org/10.23919/PICMET.2018.8481958
ISBN:978-1-890843-37-3
ISBN:978-1-890843-38-0
ISBN:978-1-5386-7719-3
ISSN:2159-5100
Titel des übergeordneten Werkes (Englisch):PICMET 2018 – Managing Technological Entrepreneurship: The Engine for Economic Growth
Dokumentart:Konferenzveröffentlichung
Sprache:Englisch
Datum der Veröffentlichung (online):02.03.2023
Datum der Erstveröffentlichung:01.09.2018
Datum der Freischaltung:20.04.2023
Freies Schlagwort / Tag:CPS; Modellierung
Erste Seite:1
Letzte Seite:7
FIR-Nummer:SV6955
Konferenzname:PICMET '18 Conference of Portland International Center for Management of Engineering and Technology
Konferenzort:Honolulu, Hawaii, USA
Konferenzzeitraum:19.08.2018-23.08.2018
Institut / Bereiche des FIR:FIR e. V. an der RWTH Aachen
Informationsmanagement
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften