Szenario-Analyse zur Digitalisierung und Automatisierung des Produktentwicklungsprozesses

Beitrag bei einer Tagung
(Konferenzbeitrag)


Details zur Publikation

Autor(en): Dworschak F, Küstner C, Schleich B, Wartzack S
Herausgeber: Rieg, F.; Brökel, K.; Scharr, G.; Grote, K.; Müller, N.; Lohrengel, A.; Nagarajah, A.; Corves, B.
Jahr der Veröffentlichung: 2018
Tagungsband: Tagungsband 16. Gemeinsames Kolloquium Konstruktionstechnik
Seitenbereich: 61 - 70
ISBN: 978-3-00-059609-4
Sprache: Deutsch


Abstract

The
Federal Ministries of Economic Affairs and Energy, Transport and Digital
Infrastructure and the Federal Ministry of the Interior presented the Digital
Agenda 2014 - 2017 in August 2014. The catalogue of measures presented
describes digital work with the help of modern IT technologies such as data
mining (DM) and new development methods such as model-based systems engineering
(MBSE). Until 2018, these technologies made their way into several large
corporations and specialized IT companies. However, their distribution in small
and medium-sized enterprises (SMEs) is still very low. This can be a major
economic disadvantage for them, as the technologies are based on holistic
approaches, such as systems-of-systems models and networking between customers
and suppliers. The technology transfer project "Optimization-based design
methodology in early phase of mechatronic product development (OptMePro)"
of the European Regional Development Fund (EFRE) aims at developing methods and
models for the integration of modern development methods and IT technologies
for SMEs. In particular, this article presents a process model for a scenario
analysis that enables SMEs to analyze their own product development process
(PDP) regarding the current grade of digitization and automation. This process
model characterizes the PDP, reveals automation potentials and finally suggests
suitable measures for improvement. The process model is universally applicable,
so that it meets the needs of as many SMEs as possible. In addition, the
intermediate results of the procedure are clearly and comprehensibly visualized
in order to guarantee their application in SMEs. Moreover, it ensures the
individual identification of fields of action for machine learning processes,
facilitates the integration of data-driven tools into modern product
development processes and thus forms the basis for iterative digitization and
automation of the PDP in SMEs.


FAU-Autoren / FAU-Herausgeber

Dworschak, Fabian
Lehrstuhl für Konstruktionstechnik
Küstner, Christof
Lehrstuhl für Konstruktionstechnik
Schleich, Benjamin Dr.-Ing.
Lehrstuhl für Konstruktionstechnik
Wartzack, Sandro Prof. Dr.-Ing.
Lehrstuhl für Konstruktionstechnik


Zitierweisen

APA:
Dworschak, F., Küstner, C., Schleich, B., & Wartzack, S. (2018). Szenario-Analyse zur Digitalisierung und Automatisierung des Produktentwicklungsprozesses. In Rieg, F.; Brökel, K.; Scharr, G.; Grote, K.; Müller, N.; Lohrengel, A.; Nagarajah, A.; Corves, B. (Eds.), Tagungsband 16. Gemeinsames Kolloquium Konstruktionstechnik (pp. 61 - 70). Bayreuth, DE.

MLA:
Dworschak, Fabian, et al. "Szenario-Analyse zur Digitalisierung und Automatisierung des Produktentwicklungsprozesses." Proceedings of the 16. Gemeinsames Kolloquium Konstruktionstechnik, Bayreuth Ed. Rieg, F.; Brökel, K.; Scharr, G.; Grote, K.; Müller, N.; Lohrengel, A.; Nagarajah, A.; Corves, B., 2018. 61 - 70.

BibTeX: 

Zuletzt aktualisiert 2018-21-11 um 23:38