Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future : Proceedings of SOHOMA 2025 (Studies in Computational Intelligence)

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Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future : Proceedings of SOHOMA 2025 (Studies in Computational Intelligence)

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  • 製本 Hardcover:ハードカバー版
  • 商品コード 9783032187857

Full Description

This book proposes a set of concepts, methods and tools for the digital transformation of sustainable manufacturing and logistics through service orientation in holonic and agent-based control with distributed intelligence.

The scientific theme of the book is "Collaborative and Autonomous Manufacturing Ecosystems for Industry of the Future". A specific attention is paid on how new technologies can contribute to the emergence of collaborative and autonomous manufacturing ecosystems that serve the Industry of the Future principles of human-centricity, resilience and sustainability. For that purpose, the intersection of the human factor, process digitalization, artificial intelligence and ethics is key to industrial change.

Written by top leading authors in industrial engineering, the chapters composing this book provide prospective and disruptive studies and discussions, as well as new answers to building the factory of the future, promoting sustainability and increasing the agility of operations. The scientific vision unveiled promotes interdisciplinarity, concrete experimentation and open standardization. It is discussed how the future of industrial systems will be focused on answering uncertainty via adaptive ecosystems, science-society discussion and co-building new responsible, equitable and sustainable models.

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.

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