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Data Driven Production – Application Fields, Solutions and Benefits

Sarikaya, Erkut ; Brockhaus, Benjamin ; Fertig, Alexander ; Ranzau, Heiko ; Stanula, Patrick ; Walther, Jessica
Hrsg.: Weigold, Matthias ; Metternich, Joachim (2021)
Data Driven Production – Application Fields, Solutions and Benefits.
doi: 10.26083/tuprints-00017874
Report, Erstveröffentlichung, Verlagsversion

Kurzbeschreibung (Abstract)

In the fourth industrial revolution, the growing digitalization integrates new technologies, such as smart sensors, new communication standards, cyber-physical systems, big data analysis, and the Industrial Internet of Things (IIoT), into the manufacturing industry. In this new age of manufacturing, every component represents a potential data source enabling new methods for data-driven production systems. Prominent application fields in discrete manufacturing are identified by literature research from current developments and enriched with use-cases from projects at the Institute of Production Management, Technology and Machine Tools (PTW). A superior application field resulting from data-driven production is introduced with arising business models. While such applications demanded much effort in the past, artificial intelligence (AI) encountered a turning point which enables systems to learn complex tasks without being explicitly programmed. However, AI has not yet reached the same level of penetration in the manufacturing industry compared to other sectors, such as healthcare and finance. In this paper, the barriers and challenges are outlined and addressed with recommendations for an implementation approach. Another challenging change for future industrial companies is the accomplishment of appropriate IT-infrastructure, especially at the operational level of the production network. Conventional infrastructures such as the strictly hierarchically layered automation pyramid, which does not support skip-level function integration, won’t be longer feasible due to the increasing number of network participants in the future IoP. Central questions about IT-infrastructure and networking, such as platforms and services, communication networks, interoperability of distributed systems, security, and wireless technologies are discussed and assessed from the PTW point of view.

Typ des Eintrags: Report
Erschienen: 2021
Herausgeber: Weigold, Matthias ; Metternich, Joachim
Autor(en): Sarikaya, Erkut ; Brockhaus, Benjamin ; Fertig, Alexander ; Ranzau, Heiko ; Stanula, Patrick ; Walther, Jessica
Art des Eintrags: Erstveröffentlichung
Titel: Data Driven Production – Application Fields, Solutions and Benefits
Sprache: Englisch
Publikationsjahr: 2021
Ort: Darmstadt
Kollation: v, 37 Seiten
DOI: 10.26083/tuprints-00017874
URL / URN: https://tuprints.ulb.tu-darmstadt.de/17874
Kurzbeschreibung (Abstract):

In the fourth industrial revolution, the growing digitalization integrates new technologies, such as smart sensors, new communication standards, cyber-physical systems, big data analysis, and the Industrial Internet of Things (IIoT), into the manufacturing industry. In this new age of manufacturing, every component represents a potential data source enabling new methods for data-driven production systems. Prominent application fields in discrete manufacturing are identified by literature research from current developments and enriched with use-cases from projects at the Institute of Production Management, Technology and Machine Tools (PTW). A superior application field resulting from data-driven production is introduced with arising business models. While such applications demanded much effort in the past, artificial intelligence (AI) encountered a turning point which enables systems to learn complex tasks without being explicitly programmed. However, AI has not yet reached the same level of penetration in the manufacturing industry compared to other sectors, such as healthcare and finance. In this paper, the barriers and challenges are outlined and addressed with recommendations for an implementation approach. Another challenging change for future industrial companies is the accomplishment of appropriate IT-infrastructure, especially at the operational level of the production network. Conventional infrastructures such as the strictly hierarchically layered automation pyramid, which does not support skip-level function integration, won’t be longer feasible due to the increasing number of network participants in the future IoP. Central questions about IT-infrastructure and networking, such as platforms and services, communication networks, interoperability of distributed systems, security, and wireless technologies are discussed and assessed from the PTW point of view.

Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-178740
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
600 Technik, Medizin, angewandte Wissenschaften > 670 Industrielle und handwerkliche Fertigung
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW)
Hinterlegungsdatum: 01 Jul 2021 09:14
Letzte Änderung: 06 Jul 2021 05:27
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