Forecasting Next Generation Manufacturing : Digital Shadows, Human-Machine Collaboration, and Data-driven Business Models
Piller, Frank Thomas (Editor); Nitsch, Verena (Editor); Lüttgens, Dirk (Editor); Mertens, Alexander (Editor); Pütz, Sebastian (Editor); van Dyck, Marc (Editor)
Cham, Switzerland : Springer (2022)
Buch
In: Contributions to management science
Seite(n)/Artikel-Nr.: XIV, 158 Seiten : Illustrationen, Diagramme
Einrichtungen
- Internet of Production [080067]
- Lehrstuhl und Institut für Arbeitswissenschaft [417110]
- Lehrstuhl für Betriebswirtschaftslehre, insbesondere Technologie- und Innovationsmanagement [812710]
Identifikationsnummern
- ISBN: 978-3-031-07733-3
- ISBN: 978-3-031-07734-0
- DOI: 10.1007/978-3-031-07734-0
- RWTH PUBLICATIONS: RWTH-2022-08397
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- [RWTH-2022-08402] Governance Structures in Next Generation Manufacturing
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- [RWTH-2022-08398] How Digital Shadows, New Forms of Human-Machine Collaboration, and Data-Driven Business Models Are Driving the Future of Industry 4.0: A Delphi Study
- [RWTH-2022-08401] Big Picture of Next Generation Manufacturing
- [RWTH-2022-08403] Organization Routines in Next Generation Manufacturing
- [RWTH-2022-08404] Capability Configuration in Next Generation Manufacturing
- [RWTH-2022-08406] Resilience Drivers in Next Generation Manufacturing
- [RWTH-2022-08409] Future Scenarios and the Most Probable Future for Next Generation Manufacturing
- [RWTH-2022-08399] Applying the Real-Time Delphi Method to Next Generation Manufacturing