| spelling |
oapen-20.500.12657-876232024-03-28T14:03:16Z Artificial Intelligence in Manufacturing Soldatos, John Industry 4.0 Industry 5.0 Reinforcement Learning Intelligent Agents Explainable AI thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers’ training, supply chain management, as well as various production optimization scenarios. This is an open access book. 2024-02-13T16:11:33Z 2024-02-13T16:11:33Z 2024 book ONIX_20240213_9783031464522_10 9783031464522 9783031464515 https://library.oapen.org/handle/20.500.12657/87623 eng application/pdf n/a 978-3-031-46452-2.pdf https://link.springer.com/978-3-031-46452-2 Springer Nature Springer Nature Switzerland 10.1007/978-3-031-46452-2 10.1007/978-3-031-46452-2 6c6992af-b843-4f46-859c-f6e9998e40d5 06d26918-b02c-4172-8f17-026a7a13b228 9783031464522 9783031464515 Springer Nature Switzerland 505 Cham [...] open access
|
| description |
This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers’ training, supply chain management, as well as various production optimization scenarios. This is an open access book.
|
