scholarly journals Cyber-Physical Production Networks: Artificial Intelligence Data-driven Internet of Things Systems, Smart Manufacturing Technologies, and Real-Time Process Monitoring

2020 ◽  
Vol 8 (1) ◽  
pp. 114
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Real Time ◽  
Process Monitoring ◽  
Data Driven ◽  
Smart Manufacturing ◽  
Time Process ◽  
Production Networks ◽  
Manufacturing Technologies

scholarly journals Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review

2021 ◽  
Vol 13 (10) ◽  
pp. 5495
Author(s):  
Mihai Andronie ◽  
George Lăzăroiu ◽  
Roxana Ștefănescu ◽  
Cristian Uță ◽  
Irina Dijmărescu
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Literature Review ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Data Driven ◽  
Smart Manufacturing ◽  
Production Networks ◽  
Production Logistics ◽  
Time Production

With growing evidence of the operational performance of cyber-physical manufacturing systems, there is a pivotal need for comprehending sustainable, smart, and sensing technologies underpinning data-driven decision-making processes. In this research, previous findings were cumulated showing that cyber-physical production networks operate automatically and smoothly with artificial intelligence-based decision-making algorithms in a sustainable manner and contribute to the literature by indicating that sustainable Internet of Things-based manufacturing systems function in an automated, robust, and flexible manner. Throughout October 2020 and April 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “Internet of Things-based real-time production logistics”, “sustainable smart manufacturing”, “cyber-physical production system”, “industrial big data”, “sustainable organizational performance”, “cyber-physical smart manufacturing system”, and “sustainable Internet of Things-based manufacturing system”. As research published between 2018 and 2021 was inspected, and only 426 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 174 mainly empirical sources. Further developments should entail how cyber-physical production networks and Internet of Things-based real-time production logistics, by use of cognitive decision-making algorithms, enable the advancement of data-driven sustainable smart manufacturing.

Leading Edge Assembly Real Time Process Monitoring Using Industrial Internet of Things (IIoT)

2019 ◽  
Author(s):  
Karol Janik ◽  
Ian Thompson ◽  
Gareth Walley ◽  
Patrick Land ◽  
Agata Suwala
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Process Monitoring ◽  
Leading Edge ◽  
Time Process ◽  
Industrial Internet Of Things ◽  
Industrial Internet
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