Process Control and Smart Manufacturing for Industry 4.0

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...

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Bibliographic Details
Other Authors: Yurish, Sergey Y. (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
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DOAB: description of the publication
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245 1 0 |a Process Control and Smart Manufacturing for Industry 4.0 
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520 |a 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. 
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650 7 |a Research & information: general  |2 bicssc 
650 7 |a Chemistry  |2 bicssc 
653 |a steel alloys 
653 |a resistance spot welding 
653 |a RSW 
653 |a electrode wear 
653 |a electrode tip-dressing 
653 |a process monitoring 
653 |a mushrooming 
653 |a plateau forming 
653 |a quality control 
653 |a COVID-19 
653 |a FDM 
653 |a 3D printing 
653 |a injection molding 
653 |a personal protection 
653 |a rapid prototyping 
653 |a protective face shields 
653 |a mechatronics line 
653 |a visual servoing system 
653 |a wheeled mobile robot 
653 |a industrial robotic manipulator 
653 |a Industry 4.0 
653 |a NDT 
653 |a magnetic particle inspection 
653 |a optimization 
653 |a condition monitoring 
653 |a vibration 
653 |a acoustic emission 
653 |a drive train 
653 |a data fusion 
653 |a machine learning 
653 |a product morphology 
653 |a core data model 
653 |a phase rule filter 
653 |a phase private data model 
653 |a storage system 
653 |a forklift AGV 
653 |a deep learning 
653 |a semantic segmentation 
653 |a H-Swish 
653 |a community transformation 
653 |a community innovation governance 
653 |a ternary space 
653 |a coupling and coordination analysis 
653 |a lean manufacturing 
653 |a lean principles 
653 |a pull principle 
653 |a production control mechanisms 
653 |a production processes 
653 |a lean implementation 
653 |a batch process 
653 |a partial least squares 
653 |a multi-phase 
653 |a multi-mode 
653 |a master production scheduling 
653 |a make-to-order 
653 |a mathematical programming 
653 |a agent-based 
653 |a overtime 
653 |a earliness 
653 |a tardiness 
653 |a equipment selection decision 
653 |a business compass 
653 |a energy consumption 
653 |a processing time 
653 |a beetle antennae search algorithm 
653 |a sustainable blank dimension design 
653 |a energy-saving 
653 |a low-carbon 
653 |a grey wolf algorithm 
653 |a gas-solid 
653 |a cyclone 
653 |a separator 
653 |a gas dynamics 
653 |a erosion 
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