Manufacturing in 2030: A Delphi study on next generation manufacturing

Manufacturing in 2030: A Delphi study on next generation manufacturing

As every professor, I have this special shelf in my office where I collect the books (co-)authored or co-edited by me. And I am always proud to add one more (happens much less frequently nowadays in our journal-paper focused system), But now, a great new addition:

Forecasting Next Generation Manufacturing: Digital Shadows, Human-Machine Collaboration, and Data-driven Business Models

SpingerNature, Sept. 2022. ISBN: 978-3-031-07733-3, DOI: https://doi.org/10.1007/978-3-031-07734-0

What do we cover in this book?

  • We look into the #future of #Industry40 and discuss a set of 24 projections how digital manufacturing will evolve until 2030. Our motivation is to provide guidance and inspiration for managers and academics on the future of digital manufacturing systems
  • The 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.

Our motivation to write yet another book

The pandemic revealed significant deficits and differences, particularly with regard to the digital maturity level of various industries and sectors (e.g. with regard to processing possibilities of real-time data, the maturity of digital processes, the speed and willingness of adaptation). It showed once again that those who will succeed are those who are prepared.?

Against this background, an expert group from 德国亚琛工业大学 working together in our national Cluster of Excellence "Internet of Production" (funded by Deutsche Forschungsgemeinschaft (DFG) - German Research Foundation as part of the German Excellence Initiative), reached out to develop and validate a set of propositions on the future of industrial production with a projection horizon of 2030.?

Our objective was to create a picture of a future of the elements of a next generation production system that may exist in 2030. Such a picture of a desirable future can allow for a #backcasting process, i.e. working backwards from the future scenario to identify policies and programs that will connect that specified future to the present and asking: If we want to attain a certain goal in 2030, what actions must be taken to get there? The results of our inquiry are presented in this book.?

In a few future posts, I will share some ideas and results from the book. But have a look inside by yourself, the book should be available online as #openaccess via most university libraries in Germany:

Thanks a lot for the great cooperation

Behind the book is a great multidisciplinary team of 30 authors (including one algorithm who wrote the abstracts and preface of the book). I especially thank my co-editors Verena Nitsch , Dirk Lüttgens , Alexander Mertens , & Sebastian Pütz and especially Dr. Marc Van Dyck , who coordinated the entire study and book project.

The individual chapters were co-authored by Alexander Mertens , Alexander Schollemann , Dr. Annika Schwarberg , Carmen Leicht-Scholten , Christian Brecher, Christian Hinke, Dirk Lüttgens , Ester C. Dr. Florian Brillowski , Günther Schuh , Frank Piller , Dr. Hannah Dammers , István Koren , Linda Steuer-Dankert , Dr. Luisa Sophie Vervier , Dr. Marc Van Dyck , Marian Wiesch , Martina Ziefle , Matthias Jarke , Dr. Maximilian Kuhn , Philipp Brauner , Ralph Baier, Saskia Nagel , Sebastian Bernhard , Srikanth Nouduri , Thomas Gries , and Wil van der Aalst . Plus GPT-3 by OpenAI .

Keywords: #digitaltwin , #digitalshadow, #HCI Human-Machine Interaction, #businessmodel , #manufacturing , #industry40 , #industrie40 , #hybridintelligence, #delphi method, #technology #forecasting

Dr. Patrick Meyer

Head of Customer Portals

2 年

Julian Kurtz - probably an interesting piece of work to have a look upon??

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Dr. Birgit Boss

How to make digital twins interoperable | Bosch | Board IDTA | Catena-X | DPP

2 年

I expected Digital Twins and not only Digital Shadows to be element of the factory of the future …?

Marin Jovanovic

Associate Professor at Copenhagen Business School

2 年

Congrats!

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Cristian Franzén

PALMA Customer Success Manager

2 年

Very interesting! I read the AI-generated summaries and was very intrigued. The digital shadow and the connection of data and communication from strategic decision-making to sales execution to manufacturing and product life management with services, upgrades, etc. will be part of the digital transformation that will leave a lot of manufactures behind if they don't start taking big decisions soon.

Verena Nitsch

Professor at RWTH University, Director of Institute of Industrial Engineering & Ergonomics (IAW)

2 年

Spoiler Alert: Yes, there will still be humans in the factory of the future! At least 2030... Thanks for the fun collaboration!

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