Advances in Manufacturing V: Volume 2 - Production Engineering: Factory of the Future
Author:   Justyna Trojanowska ,  Agnieszka Kujawińska ,  Naiming Xie ,  Jozef Husár
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032216533


Pages:   380
Publication Date:   05 May 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Advances in Manufacturing V: Volume 2 - Production Engineering: Factory of the Future


Overview

This book reports on research findings and technologies supporting the paradigm shift toward the Factory of the Future. Gathering peer-review contributions to the 9th International Scientific-Technical Conference MANUFACTURING 2026, held on May 19-21, 2026, in Poznan, Poland, it covers advances in digital twins and virtual engineering, artificial intelligence applications in engineering design and management and advances in additive manufacturing technologies. It also discusses novel production monitoring systems, and strategies for operational excellence and logistics aimed at improving human-robot collaboration and/or fostering sustainable distribution networks. Offering a timely, practice-oriented reference guide for both researchers and practitioners in manufacturing, this book is also intended to bridge the gap between university and industry, fostering a closer communication and cooperation between them.

Full Product Details

Author:   Justyna Trojanowska ,  Agnieszka Kujawińska ,  Naiming Xie ,  Jozef Husár
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032216533


ISBN 10:   3032216532
Pages:   380
Publication Date:   05 May 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Cognitive Industrial Twin – A Survey.- Cross Reality for computer control of technical systems in mechanical engineering.- Possibilities of Using Generative AI in AI-based Digital Twins for Industry 5.0/6.0.- Modeling the Root Causes of Production Line Stoppages by Leveraging Downtime History and Buffer Dynamics: Simulation-based Evaluation.

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