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Soft Computing in Smart Manufacturing

Solutions toward Industry 5.0
Buch | Hardcover
XIV, 277 Seiten
2021
De Gruyter (Verlag)
978-3-11-069317-1 (ISBN)
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This book aims at addressing the challenges of contemporary manufacturing in Industry 4.0 environment and future manufacturing (aka Industry 5.0), by implementing soft computing as one of the major sub-fields of artificial intelligence. It contributes to development and application of the soft computing systems, including links to hardware, software and enterprise systems, in resolving modern manufacturing issues in complex, highly dynamic and globalized industrial circumstances. It embraces heterogeneous complementary aspects, such as control, monitoring and modeling of different manufacturing tasks, including intelligent robotic systems and processes, addressed by various machine learning and fuzzy techniques; modeling and parametric optimization of advanced conventional and non-conventional, eco-friendly manufacturing processes by using machine learning and evolutionary computing techniques; cybersecurity framework for Internet of Things-based systems addressing trustworthiness and resilience in machine-to-machine and human-machine collaboration; static and dynamic digital twins integration and synchronization in a smart factory environment; STEP-NC technology for a smart machine vision system, and integration of Open CNC with Service-Oriented Architecture for STEP-NC monitoring system in a smart manufacturing. Areas of interest include but are not limited to applications of soft computing to address the following: dynamic process/system modeling and simulation, dynamic process/system parametric optimization, dynamic planning and scheduling, smart, predictive maintenance, intelligent and autonomous systems, improved machine cognition, effective digital twins integration, human-machine collaboration, robots, and cobots.

T. Sibalija, Belgrade Metropolitan University, Serbia; J. P. Davim, Universitiy of Aveiro, Portugal

Erscheinungsdatum
Reihe/Serie Advanced Mechanical Engineering ; 8
Zusatzinfo 25 b/w and 108 col. ill., 25 b/w tbl.
Verlagsort Berlin/Boston
Sprache englisch
Maße 170 x 240 mm
Gewicht 612 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Fahrzeugbau / Schiffbau
Technik Luft- / Raumfahrttechnik
Technik Maschinenbau
Schlagworte Industrie 4.0 • Industrie 5.0 • Maschinenbau • smart manufacturing
ISBN-10 3-11-069317-8 / 3110693178
ISBN-13 978-3-11-069317-1 / 9783110693171
Zustand Neuware
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