scholarly journals Cognitive Decision-Making Algorithms, Internet of Things Smart Devices, and Sustainable Organizational Performance in Industry 4.0-based Manufacturing Systems

2020 ◽  
Vol 8 (4) ◽  
pp. 9
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Organizational Performance ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Smart Devices ◽  
Cognitive Decision

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.

Espousal of Industry 4.0 in Indian Manufacturing Organizations

2020 ◽  
pp. 245-252
Author(s):  
Ravinder Kumar
Keyword(s):  
Power Generation ◽  
Decision Making ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Assembly Lines ◽  
Steam Power ◽  
The Third ◽  
Manufacturing Sectors ◽  
Manufacturing Organizations ◽  
Modern Era

A formal industrialization commenced with steam power generation and the application of machines that mechanized the industrial work in past. Subsequently, the development in electric power, the assembly lines, and mass manufacturing led toward the third era of numeric control and automation. Now in modern era of industry 4.0, robots connected with the computers and machines. Tools are working on machines learning algorithms and running the cyber physical manufacturing systems. Sensing the need of hour, Indian manufacturing organizations are working hard to implement the practices of Industry 4.0. Working on identical direction, the author has identified 12 enablers poignant the espousal of Industry 4.0 in Indian manufacturing sectors from literature review and by opinion of experts. Further, the author has used Decision Making Trial and Evaluation Laboratory (DEMATEL) technique for developing the structural and circumstantial kinship among the enablers of Industry 4.0.

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