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Forecasting next generation manufacturing [electronic resource] : digital shadows, human-machine collaboration, and data-driven business models / Frank T. Piller, Verena Nitsch, Dirk Lüttgens, Alexander Mertens, Sebastian Pütz, Marc Van Dyck, editors.

Piller, Frank T., 1969- editor.; Nitsch, Verena, editor.; Lüttgens, Dirk, editor.; Mertens, Alexander, editor.; Pütz, Sebastian, editor.; Van Dyck, Marc, editor.
2022
TS183
Available Online
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Title
Forecasting next generation manufacturing [electronic resource] : digital shadows, human-machine collaboration, and data-driven business models / Frank T. Piller, Verena Nitsch, Dirk Lüttgens, Alexander Mertens, Sebastian Pütz, Marc Van Dyck, editors.
ISBN
9783031077340 (electronic bk.)
3031077342 (electronic bk.)
3031077334
9783031077333
DOI
https://doi.org/10.1007/978-3-031-07734-0
Published
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-031-07734-0 doi
Call Number
TS183
Dewey Decimal Classification
670
Summary
Manufacturing companies have just begun to implement the concepts of the Fourth Industrial Revolution (Industry 4.0) on a larger scale. Still, this area is characterized by a rapid pace of technological change, blurring boundaries between physical, digital, and biological systems, and a quickly changing growing political, economic, and social environment -- leading to high uncertainty in decision making and many questions about the future development in this field. To provide guidance and inspiration for managers and academics on the future of digital manufacturing systems, this book presents the results of an extensive Delphi study on next-generation manufacturing systems, with a projection period of up to 2030. We analyzed almost 2000 quantitative estimations and more than 600 qualitative arguments from a large panel of industrial and academic experts from Europe, North America, and Asia. The book describes each of the 24 projections in detail, offering current case study examples and related research, as well as implications for policymakers, firms, and individuals. The empirical results also allowed us to build scenarios for the most probable future along the dimensions of governance, organization, capabilities, and interfaces from both a company-internal and an external (network) perspective.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 1, 2022).
Added Author
Piller, Frank T., 1969- editor.
Nitsch, Verena, editor.
Lüttgens, Dirk, editor.
Mertens, Alexander, editor.
Pütz, Sebastian, editor.
Van Dyck, Marc, editor.
Series
Contributions to management science.
Available in Other Form
Print version: 9783031077333
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
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
Applying the Real-Time Delphi Method to Next Generation Manufacturing
Big Picture of Next Generation Manufacturing
Governance Structures in Next Generation Manufacturing
Organization Routines in Next Generation Manufacturing
Capability Configuration in Next Generation Manufacturing
Interface Design in Next Generation Manufacturing
Resilience Drivers in Next Generation Manufacturing
Future Scenarios and the Most Probable Future for Next Generation Manufacturing
Hybrid Intelligence in Next Generation Manufacturing: An Outlook on New Forms of Collaboration Between Human and Algorithmic Decision-Makers in the Factory of the Future.

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