Service Orientation in Holonic and Multi-Agent Manufacturing Proceedings of SOHOMA 2017 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Borangiu, Theodor (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Trentesaux, Damien (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Thomas, André (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Cardin, Olivier (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Studies in Computational Intelligence, 762
• Θέματα: Computational intelligence.; Artificial intelligence.; Industrial engineering.; Production engineering.; Robotics.; Automation.; Computational Intelligence.; Artificial Intelligence.; Industrial and Production Engineering.; Robotics and Automation.

 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 informational worlds and is realized by virtualization of products, processes and resources managed as services. 

 Artificial Intelligence, Autonomous Systems and Robotics: Legal Innovations -- Multi-Agent System Architecture for Zero Defect Multi-stage Manufacturing -- Multicriteria Supplier Selection for Supply Chain Management -- Environmental Assessment Using a Lean Based Tool -- A Maturity Framework for Operational Resilience and its Application to Production Control. .