Automation Control Systems & Process Control for Industry 4.0

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...

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Formaat: Online
Taal:Engels
Gepubliceerd in: MDPI - Multidisciplinary Digital Publishing Institute 2025
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_version_ 1869521967415033856
collection Directory of Open Access Books
description 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 Online
id doab-20.500.12854ir-152673
institution Directory of Open Access Books
language eng
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1526732025-02-20T12:53:27Z Automation Control Systems & Process Control for Industry 4.0 Yurish, Sergey Y. 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 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology 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. 2025-02-20T12:53:24Z 2025-02-20T12:53:24Z 2024 book ONIX_20250220_9783725818693_37 9783725818693 9783725818709 https://directory.doabooks.org/handle/20.500.12854/152673 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/9827 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1870-9 10.3390/books978-3-7258-1870-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725818693 9783725818709 244 Basel open access
spellingShingle 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
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
Automation Control Systems & Process Control for Industry 4.0
title Automation Control Systems & Process Control for Industry 4.0
title_full Automation Control Systems & Process Control for Industry 4.0
title_fullStr Automation Control Systems & Process Control for Industry 4.0
title_full_unstemmed Automation Control Systems & Process Control for Industry 4.0
title_short Automation Control Systems & Process Control for Industry 4.0
title_sort automation control systems process control for industry 4 0
topic 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
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
topic_facet 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
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
url ONIX_20250220_9783725818693_37