Reprint

Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0

Edited by
August 2024
236 pages
  • ISBN978-3-7258-1871-6 (Hardback)
  • ISBN978-3-7258-1872-3 (PDF)
https://doi.org/10.3390/books978-3-7258-1872-3 (registering)

Print copies available soon

This is a Reprint of the Special Issue Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0 that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Summary

The reprints on "Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0" provides a comprehensive examination of the latest advancements and innovations in the fields of smart manufacturing and automation control. This Special Issue gathers extended papers from the 3rd IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0/5.0 (ARCI’ 2023). This Special Issue underscores the rapid growth and transformative potential of Industry 4.0 and the emerging Industry 5.0, with a focus on the integration of advanced automation tools, robotic control, communications, and big data analytics. It highlights how these technologies collectively enable more efficient, flexible, and responsive manufacturing processes. Overall, this Special Issue emphasizes the critical role of advanced automation and control systems in driving the evolution of manufacturing industries. It reflects the growing importance of integrating cutting-edge technologies to enhance productivity, quality, and sustainability in manufacturing operations. The contributions in this Special Issue not only showcase the current research and development efforts but also provide a forward-looking perspective on the future of manufacturing in the era of Industry 4.0 and beyond.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
remanufacturing; assembly sequence; selection matching; combinatorial algorithm; engine; brittleness factor; lean–green manufacturing; Industry 4.0; DEMATEL-ISM-MICMAC; sustainable development; zinc hydrometallurgy; PLC; spectrophotometric system; nitrogen protection device; automated control; high-pressure polyethylene; cyclone separator; computational fluid dynamics; design of experiment; separation efficiency; pressure drop; production line scheduling; multiple constraints; beetle antennae search; multi-objective; production process; equipment selection; low carbon; highly efficient; BAS; carbon emission; genetic algorithm; material distribution; optimization model; nonlinear; time-delay; migration model; NARX-BP; IOSBC-DE; CTDARV; performance comparisons; AMESIM; material distribution; path planning; low carbon; business compass; dung beetle optimizer; IOTA; Industry 4.0/5.0; blockchain; data preservation; industrial automation and control systems; digital twin; smart manufacturing; energy; energy efficiency; productive flexibility