Profit Per Hour as a Target Process Control Parameter for Manufacturing Systems Enabled by Big Data Analytics and Industry 4.0 Infrastructure

Markus Hammer; Ken Somers; Hugo Daniel Karre; Christian Ramsauer

doi:10.1016/j.procir.2017.03.094

Profit Per Hour as a Target Process Control Parameter for Manufacturing Systems Enabled by Big Data Analytics and Industry 4.0 Infrastructure

Markus Hammer, Ken Somers, Hugo Daniel Karre, Christian Ramsauer

Institut für Innovation und Industrie Management (3710)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband

Originalsprache	englisch
Titel	Procedia CIRP
Untertitel	Manufacturing Systems 4.0 – Proceedings of the 50th CIRP Conference on Manufacturing Systems
Seiten	715-720
Band	63
DOIs	https://doi.org/10.1016/j.procir.2017.03.094
Publikationsstatus	Veröffentlicht - 11 Jul 2017
Veranstaltung	50th CIRP Conference on Manufacturing Systems - Dauer: 3 Mai 2017 → 5 Mai 2017

Konferenz

Konferenz	50th CIRP Conference on Manufacturing Systems
Zeitraum	3/05/17 → 5/05/17

Zugriff auf Dokument

10.1016/j.procir.2017.03.094

Dieses zitieren

Hammer, M., Somers, K., Karre, H. D., & Ramsauer, C. (2017). Profit Per Hour as a Target Process Control Parameter for Manufacturing Systems Enabled by Big Data Analytics and Industry 4.0 Infrastructure. in Procedia CIRP: Manufacturing Systems 4.0 – Proceedings of the 50th CIRP Conference on Manufacturing Systems (Band 63, S. 715-720) https://doi.org/10.1016/j.procir.2017.03.094

Profit Per Hour as a Target Process Control Parameter for Manufacturing Systems Enabled by Big Data Analytics and Industry 4.0 Infrastructure. / Hammer, Markus; Somers, Ken; Karre, Hugo Daniel ; Ramsauer, Christian.

Procedia CIRP: Manufacturing Systems 4.0 – Proceedings of the 50th CIRP Conference on Manufacturing Systems. Band 63 2017. S. 715-720.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband

Hammer, M, Somers, K, Karre, HD & Ramsauer, C 2017, Profit Per Hour as a Target Process Control Parameter for Manufacturing Systems Enabled by Big Data Analytics and Industry 4.0 Infrastructure. in Procedia CIRP: Manufacturing Systems 4.0 – Proceedings of the 50th CIRP Conference on Manufacturing Systems. Bd. 63, S. 715-720, 50th CIRP Conference on Manufacturing Systems, 3/05/17. https://doi.org/10.1016/j.procir.2017.03.094

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