Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future: Proceedings of SOHOMA 2019

Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future

Proceedings of SOHOMA 2019
 
Edition number: 1st ed. 2020
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
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Product details:

ISBN13:9783030274764
ISBN10:3030274764
Binding:Hardback
No. of pages:440 pages
Size:235x155 mm
Weight:846 g
Language:English
Illustrations: 161 Illustrations, black & white; 133 Illustrations, color
134
Category:
Short description:

This proceedings book presents selected peer-reviewed papers from the 9th International Workshop on ?Service Oriented, Holonic and Multi-agent Manufacturing Systems for the Industry of the Future? organized by Universitat Polit?cnica de Val?ncia, Spain, and held on October 3?4, 2019. The SOHOMA 2019 Workshop aimed to foster innovation in the digital transformation of manufacturing and logistics by promoting new concepts and methods and solutions through service orientation in holonic and agent-based control with distributed intelligence.

The book provides insights into the theme of the SOHOMA?19 Workshop ? ?Smart anything everywhere ? the vertical and horizontal manufacturing integration, ? addressing ?Industry of the Future? (IoF), a term used to describe the 4th industrial revolution initiated by a new generation of adaptive, fully connected, analytical and highly efficient robotized manufacturing systems. This global IoF model describes a new stage of manufacturing, that is fully automatized and uses advanced information, communication and control technologies such as industrial IoT, cyber-physical production systems, cloud manufacturing, resource virtualization, product intelligence, and digital twin, edge and fog computing.

It presents the IoF interconnection of distributed manufacturing entities using a ?system-of-systems? approach, discussing  new types of highly interconnected and self-organizing production resources in the entire value chain; and new types of intelligent decision-making support based on from real-time production data collected from resources, products and machine learning processing.

This book is intended for researchers and engineers working in the manufacturing value chain, and specialists developing computer-based control and robotics solutions for the ?Industry of the Future?. It is also a valuable resource for master?s and Ph.D. students in engineering sciences programs.


Long description:

This proceedings book presents selected peer-reviewed papers from the 9th International Workshop on ?Service Oriented, Holonic and Multi-agent Manufacturing Systems for the Industry of the Future? organized by Universitat Polit?cnica de Val?ncia, Spain, and held on October 3?4, 2019. The SOHOMA 2019 Workshop aimed to foster innovation in the digital transformation of manufacturing and logistics by promoting new concepts and methods and solutions through service orientation in holonic and agent-based control with distributed intelligence.



The book provides insights into the theme of the SOHOMA?19 Workshop ? ?Smart anything everywhere ? the vertical and horizontal manufacturing integration, ? addressing ?Industry of the Future? (IoF), a term used to describe the 4th industrial revolution initiated by a new generation of adaptive, fully connected, analytical and highly efficient robotized manufacturing systems. This global IoF model describes a new stage of manufacturing, that is fully automatized and uses advanced information, communication and control technologies such as industrial IoT, cyber-physical production systems, cloud manufacturing, resource virtualization, product intelligence, and digital twin, edge and fog computing.



It presents the IoF interconnection of distributed manufacturing entities using a ?system-of-systems? approach, discussing  new types of highly interconnected and self-organizing production resources in the entire value chain; and new types of intelligent decision-making support based on from real-time production data collected from resources, products and machine learning processing.



This book is intended for researchers and engineers working in the manufacturing value chain, and specialists developing computer-based control and robotics solutions for the ?Industry of the Future?. It is also a valuable resource for master?s and Ph.D. students in engineering sciences programs.