Editors:
- Presents recent research on service orientation in holonic and multi-agent manufacturing
- Includes selected papers from the 7th International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA'17) held in Nantes, France on October 19-20, 2017
- Written by experts in the field of service orientation in holonic and multi-agent manufacturing
Part of the book series: Studies in Computational Intelligence (SCI, volume 762)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (37 papers)
-
Front Matter
-
Advanced Manufacturing Control
-
Front Matter
-
-
Big Data Management
-
Front Matter
-
-
Cyber-Physical Production Systems
-
Front Matter
-
-
Cloud- and Cyber-Physical Systems for Smart and Sustainable Manufacturing
-
Front Matter
-
About this book
This book gathers the peer-reviewed papers presented at the seventh edition of the international workshop "Service Orientation in Holonic and Multi-Agent Manufacturing - SOHOMA'17", held on October 19-20, 2017 and organized by the University of Nantes, France in collaboration with the CIMR Research Centre in Computer Integrated Manufacturing and Robotics at the University Politehnica of Bucharest, Romania, the LAMIH Laboratory of Industrial and Human Automation Control, Mechanical Engineering and Computer Science at the University of Valenciennes and Hainaut-Cambrésis, France and the CRAN Research Centre for Automatic Control, Nancy at the University of Lorraine, France. The main objective of SOHOMA'17 was to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions addressing trends in service orientation of agent-based control technologies with distributed intelligence.
The book is organized in eight parts, each with a number of chapters describing research in current domains of the digital transformation in manufacturing and trends in future service and computing oriented manufacturing control: Part 1: Advanced Manufacturing Control, Part 2: Big Data Management, Part 3: Cyber-Physical Production Systems, Part 4: Cloud- and Cyber-Physical Systems for Smart and Sustainable Manufacturing, Part 5: Simulation for Physical Internet and Intelligent & Sustainable Logistics Systems, Part 6: Formal Methods and Advanced Scheduling for Future Industrial Systems, Part 7: Applications and Demonstrators, Part 8: Production and Logistic Control Systems. The contributions focus on how the digital transformation, such as the one advocated by "Industry 4.0" or "Industry of the future" concepts, can improve the maintainability and the sustainability of manufacturing processes, products, and logistics. Digital transformation relates to the interaction between the physical and informationalworlds and is realized by virtualization of products, processes and resources managed as services.
Editors and Affiliations
-
Faculty of Automatic Control and Computer Science, University Politehnica of Bucharest, Bucharest, Romania
Theodor Borangiu
-
LAMIH UMR CNRS 8201, University of Valenciennes and Hainaut-Cambresis, Valenciennes, France
Damien Trentesaux
-
École Nationale Supérieure des Technologies et Industries du Bois, University of Lorraine, Épinal, France
André Thomas
-
Institut de Recherche en Communications et Cybernétique de Nantes, University of Nantes, Nantes, France
Olivier Cardin
Bibliographic Information
Book Title: Service Orientation in Holonic and Multi-Agent Manufacturing
Book Subtitle: Proceedings of SOHOMA 2017
Editors: Theodor Borangiu, Damien Trentesaux, André Thomas, Olivier Cardin
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-73751-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-73750-8Published: 14 February 2018
Softcover ISBN: 978-3-319-89257-3Published: 07 June 2019
eBook ISBN: 978-3-319-73751-5Published: 31 January 2018
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVI, 502
Number of Illustrations: 30 b/w illustrations, 168 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Industrial and Production Engineering, Robotics and Automation