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Forecasting next generation manufacturingdigital shadows, human-machine collaboration, and data-driven business models /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Forecasting next generation manufacturingedited by Frank T. Piller ... [et al.].
Reminder of title:	digital shadows, human-machine collaboration, and data-driven business models /
other author:	Piller, Frank T.
Published:	Cham :Springer International Publishing :2022.
Description:	xiv, 158 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Manufacturing processesTechnological innovations.
Online resource:	https://doi.org/10.1007/978-3-031-07734-0
ISBN:	9783031077340$q(electronic bk.)

Forecasting next generation manufacturingdigital shadows, human-machine collaboration, and data-driven business models /
Forecasting next generation manufacturingdigital shadows, human-machine collaboration, and data-driven business models /[electronic resource] :edited by Frank T. Piller ... [et al.]. - Cham :Springer International Publishing :2022. - xiv, 158 p. :ill., digital ;24 cm. - Contributions to management science,2197-716X. - Contributions to management science..

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.

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.

ISBN: 9783031077340$q(electronic bk.)

Standard No.: 10.1007/978-3-031-07734-0doiSubjects--Topical Terms:

338712
Manufacturing processes
--Technological innovations.

LC Class. No.: TS183 / .F67 2022

Dewey Class. No.: 670

Forecasting next generation manufacturingdigital shadows, human-machine collaboration, and data-driven business models /
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