Artificial Intelligence in Manufacturing
Enabling Intelligent, Flexible and Cost-Effective Production Through AI
dc.contributor.editor | Soldatos, John | |
dc.date.accessioned | 2024-02-13T16:11:33Z | |
dc.date.available | 2024-02-13T16:11:33Z | |
dc.date.issued | 2024 | |
dc.identifier | ONIX_20240213_9783031464522_10 | |
dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/87623 | |
dc.description.abstract | 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. | |
dc.language | English | |
dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications | en_US |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence | en_US |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UN Databases | en_US |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology | en_US |
dc.subject.classification | thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems | en_US |
dc.subject.other | Industry 4.0 | |
dc.subject.other | Industry 5.0 | |
dc.subject.other | Reinforcement Learning | |
dc.subject.other | Intelligent Agents | |
dc.subject.other | Explainable AI | |
dc.title | Artificial Intelligence in Manufacturing | |
dc.title.alternative | Enabling Intelligent, Flexible and Cost-Effective Production Through AI | |
dc.type | book | |
oapen.identifier.doi | 10.1007/978-3-031-46452-2 | |
oapen.relation.isPublishedBy | 6c6992af-b843-4f46-859c-f6e9998e40d5 | |
oapen.relation.isFundedBy | 06d26918-b02c-4172-8f17-026a7a13b228 | |
oapen.relation.isbn | 9783031464522 | |
oapen.relation.isbn | 9783031464515 | |
oapen.imprint | Springer Nature Switzerland | |
oapen.pages | 505 | |
oapen.place.publication | Cham | |
oapen.grant.number | [...] |