Electronic Resource

Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains : Stuttgart Conference on Automotive Production (SCAP2022

This volume of the series ARENA2036 compiles the outcome of the 2nd Stuttgart Conference on Automotive Production (SCAP2022).

The peer-reviewed contributions in this book are arranged thematically in three parts and cover a wide variety of topics: (A) Software-defined Manufacturing, (B) Data-driven Technologies, and (C) Advanced Manufacturing and Sustainability.

SCAP2022 was organized by ARENA2036 in close collaboration with the Institute for Control Engineering of Machine Tools and Manufacturing Units of the University of Stuttgart. The Conference took place on site from November 16 - 18, 2022 and provided the opportunity for national and international scientists to present their latest research results.
The conference has taken another big step in becoming an established forum for topics related to the production of the future. The great success of this year's conference will be continued with the next SCAP in 2024 with new forward-looking topics.

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Detail Information

Series Title

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Call Number

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Publisher

: Springer International Publishing., 2023

Collation

X, 388 hlm,: ill, lamp;

Language

English

ISBN/ISSN

9783031279331

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Automotive Engineering
Robotics and Automation,

Specific Detail Info

Provides multiple perspectives on the highly relevant topics: SDM and Resilient Supply Chains Combines approaches and findings from fundamental research and industrial application Offers numerous practical examples regarding the potentials of SDM This book is open access, which means that you have free and unlimited access

Statement of Responsibility

Niklas Kiefl, Frederik Wulle, Clemens Ackermann, Daniel Holder

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Source

https://link.springer.com/10.1007/978-3-031-27933-1

Validator

ida

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-031-27933-1

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