Process Control and Smart Manufacturing for Industry 4.0

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: 3D printing; acoustic emission; agent-based; batch process; beetle antennae search algorithm; business compass; Chemistry; community innovation governance; community transformation; condition monitoring; core data model; coupling and coordination analysis; COVID-19; cyclone; data fusion; deep learning; drive train; earliness; electrode tip-dressing; electrode wear; energy consumption; energy-saving; equipment selection decision; erosion; FDM; forklift AGV; gas dynamics; gas–solid; grey wolf algorithm; H-Swish; industrial robotic manipulator; Industry 4.0; injection molding; lean implementation; lean manufacturing; lean principles; low-carbon; machine learning; magnetic particle inspection; make-to-order; master production scheduling; mathematical programming; Mathematics and Science; mechatronics line; multi-mode; multi-phase; mushrooming; NDT; optimization; overtime; partial least squares; personal protection; phase private data model; phase rule filter; plateau forming; process monitoring; processing time; product morphology; production control mechanisms; production processes; protective face shields; pull principle; quality control; rapid prototyping; Reference, Information and Interdisciplinary subjects; Research and information: general; resistance spot welding; RSW; semantic segmentation; separator; steel alloys; storage system; sustainable blank dimension design; tardiness; ternary space; vibration; visual servoing system; wheeled mobile robot
• DOI: 10.3390/books978-3-0365-6597-2
• ISBN: 3036565965; 9783036565972; 3036565973; 9783036565965

This reprint, entitled “Process Control and Smart Manufacturing for Industry 4.0”, contains the extended papers from the Series of annual IFSA conferences on Automation, Robotics and Communications for Industry 4.0/5.0 (ARCI) on the following topics: Process Automation, Process Control and Monitoring, Design Principles in Industry 4.0, Smart Manufacturing and Technologies, Smart Factories, Machine Learning and Artificial Intelligence in Manufacturing. The reprint contains 13 chapters written by 54 ARCI conference participants from seven countries: China, Croatia, Denmark, Germany, Italy, Poland and Romania. This reprint will inform readers of cutting-edge developments in the field and provide effective starting points and a road map for further research and development. All chapters follow the same structure: firstly, an introduction to the specific topic under study; secondly, a description of the field, including sensing or/and measuring applications. Each chapter ends with a curated list of references, including books, journals, conference proceedings and websites. “Process Control and Smart Manufacturing for Industry 4.0” is intended for researchers and scientists from academia and industry, as well as for postgraduate students.