Soft Computing in Smart Manufacturing

Solutions toward Industry 5.0

Tatjana Sibalija, J. Paulo Davim

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English

De Gruyter
06 December 2021

Production engineering; Automatic control engineering; Automotive (motor mechanic) skills; Artificial intelligence

Series: Advanced Mechanical Engineering

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.

Edited by: Tatjana Sibalija, J. Paulo Davim
Imprint: De Gruyter
Country of Publication: Germany
Dimensions: Height: 240mm, Width: 170mm,
Weight: 612g
ISBN: 9783110693171
ISBN 10: 3110693178
Series: Advanced Mechanical Engineering
Pages: 291
Publication Date: 06 December 2021
Audience: Professional and scholarly , Undergraduate , Undergraduate
Format: Hardback
Publisher's Status: Active

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