Forecasting Next Generation Manufacturing - Digital Shadows, Human-Machine Collaboration, and Data-driven Business Models (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Contributions to Management Science
Release date:	September 2022
First published:	2022
Editors:	Frank T. Piller • Verena Nitsch • Dirk Luttgens • Alexander Mertens • Sebastian Putz • Marc Van Dyck
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	158
Edition:	1st ed. 2022
ISBN-13:	978-3-03-107733-3
Categories:	Books > Computing & IT > General Books > Business & Economics > Business & management > Management of specific areas > Production & quality control management Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
LSN:	3-03-107733-4
Barcode:	9783031077333

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