Reprint
Automation Control Systems & Process Control for Industry 4.0
Edited by
September 2024
244 pages
- ISBN978-3-7258-1869-3 (Hardback)
- ISBN978-3-7258-1870-9 (PDF)
This is a Reprint of the Special Issue Automation Control Systems & Process Control for Industry 4.0 that was published in
Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Summary
This reprint, entitled "Automation Control Systems & Process Control for Industry 4.0", explores the advancements and applications of the automation and process control pivotal for Industry 4.0. It includes extended papers from the 2nd IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0 (ARCI’ 2022). The key topics of this reprint include process automation, smart manufacturing, machine learning, AI in manufacturing, and industrial big data analytics. It also emphasizes the potential growth of Industry 4.0, driven by industrial robotics and challenged by data integration risks.
Format
- Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
Industry 4.0; competency-based education; cyber-physical systems; specific competencies; engineering education; laboratory processes automation; additive manufacturing; robotic production; laser powder bed fusion; discrete optimization; multiple mobile robots systems; multiple resources; uncertainty; simulation; metaheuristics; carbon benefit; carbon efficiency; carbon emission; process decision-making; lean–green; gear processing; process route optimization; gray wolf algorithm; low energy consumption; low carbon; driving factors; lean-green manufacturing; Industry 4.0; fuzzy AHP-DEMATEL-ISM; enterprise stakeholders; model predictive control; reservoir; hydroelectric power plant; modelization; forecast; advanced process control; regulation gate manipulation; water resources management; process control; process optimization; SVTDARVWEO; AMESim; response characteristics; influencing factors; supervision; control; remote terminal; cluster; high pressure; gas injection; energy conservation; concrete pump; hybrid power; control strategy; parameter matching; energy management