This book centres on methods and tools for data sharing in a secure way and on value-adding application of artificial intelligence (AI) in industrial production and logistics for the transformation to data-driven industry of the future. The scientific theme of the book is "Industrial Artificial Intelligence in the Data-driven Industry of the Future: Models, Architectures, and Applications" which is focused on exploring the intricacies of cross-enterprise data sharing and the strategic use of AI within manufacturing systems.
An important analysis is offered to reveal the interconnections between research, regulation and standardization of artificial intelligence and digital twins in Industry 4.0 from an European perspective. The novelty of this approach consists in analysing the ethical risks associated with the use of generative AI techniques in industrial systems and their short-, medium- and long-term impact on performance and human well-being protection. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The book's readership is comprised by researchers and engineers working in the value chain of products and processes including material sourcing, production, consumption and disposal/recycling processes, who develop digital control solutions in the "Industry of the Future" vision. The book also addresses to master and Ph.D. students enrolled in engineering sciences programs.Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book centres on methods and tools for data sharing in a secure way and on value-adding application of artificial intelligence (AI) in industrial production and logistics for the transformation to data-driven industry of the future. The scientific theme of the book is Industrial Artificial Intelligence in the Data-driven Industry of the Future: Models, Architectures, and Applications which is focused on exploring the intricacies of cross-enterprise data sharing and the strategic use of AI within manufacturing systems.An important analysis is offered to reveal the interconnections between research, regulation and standardization of artificial intelligence and digital twins in Industry 4.0 from an European perspective.The novelty of this approach consists in analysing the ethical risks associated with the use of generative AI techniques in industrial systems and their short-, medium- and long-term impact on performance and human well-being protection. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence.The book s readership is comprised by researchers and engineers working in the value chain of products and processes including material sourcing, production, consumption and disposal/recycling processes, who develop digital control solutions in the Industry of the Future vision. The book also addresses to master and Ph.D. students enrolled in engineering sciences programs. 464 pp. Englisch. N° de réf. du vendeur 9783031853159
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Hardcover. Etat : new. Hardcover. This book centres on methods and tools for data sharing in a secure way and on value-adding application of artificial intelligence (AI) in industrial production and logistics for the transformation to data-driven industry of the future. The scientific theme of the book is Industrial Artificial Intelligence in the Data-driven Industry of the Future: Models, Architectures, and Applications which is focused on exploring the intricacies of cross-enterprise data sharing and the strategic use of AI within manufacturing systems.An important analysis is offered to reveal the interconnections between research, regulation and standardization of artificial intelligence and digital twins in Industry 4.0 from an European perspective.The novelty of this approach consists in analysing the ethical risks associated with the use of generative AI techniques in industrial systems and their short-, medium- and long-term impact on performance and human well-being protection. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence.The books readership is comprised by researchers and engineers working in the value chain of products and processes including material sourcing, production, consumption and disposal/recycling processes, who develop digital control solutions in the Industry of the Future vision. The book also addresses to master and Ph.D. students enrolled in engineering sciences programs. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783031853159
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Buch. Etat : Neu. Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future | Proceedings of SOHOMA 2024 | Theodor Borangiu (u. a.) | Buch | xx | Englisch | 2025 | Springer | EAN 9783031853159 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 133621482
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book centres on methods and tools for data sharing in a secure way and on value-adding application of artificial intelligence (AI) in industrial production and logistics for the transformation to data-driven industry of the future. The scientific theme of the book is 'Industrial Artificial Intelligence in the Data-driven Industry of the Future: Models, Architectures, and Applications' which is focused on exploring the intricacies of cross-enterprise data sharing and the strategic use of AI within manufacturing systems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 464 pp. Englisch. N° de réf. du vendeur 9783031853159
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book centres on methods and tools for data sharing in a secure way and on value-adding application of artificial intelligence (AI) in industrial production and logistics for the transformation to data-driven industry of the future. The scientific theme of the book is Industrial Artificial Intelligence in the Data-driven Industry of the Future: Models, Architectures, and Applications which is focused on exploring the intricacies of cross-enterprise data sharing and the strategic use of AI within manufacturing systems.An important analysis is offered to reveal the interconnections between research, regulation and standardization of artificial intelligence and digital twins in Industry 4.0 from an European perspective.The novelty of this approach consists in analysing the ethical risks associated with the use of generative AI techniques in industrial systems and their short-, medium- and long-term impact on performance and human well-being protection. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence.The book s readership is comprised by researchers and engineers working in the value chain of products and processes including material sourcing, production, consumption and disposal/recycling processes, who develop digital control solutions in the Industry of the Future vision. The book also addresses to master and Ph.D. students enrolled in engineering sciences programs. N° de réf. du vendeur 9783031853159
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