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Acquiring Automation and Control Data in The Manufacturing Industry: A Systematic Review.

Authors :
Sama, Andi
Warnars, Harco Leslie Hendric Spits
Prabowo, Harjanto
Meyliana
Hidayanto, Achmad Nizar
Source :
Procedia Computer Science; 2023, Vol. 227, p214-222, 9p
Publication Year :
2023

Abstract

Industry 4.0 has driven the need for Information Technology (IT) & Operational Technology (OT) convergence to modernize OT by leveraging IT. The challenges for manufacturing operations are utilizing and converting years of scattered data into valuable information integrated into the company's digital transformation strategy. This paper aims to provide a systematic literature review of current evidence in digital transformation for acquiring automation & control technologies data in manufacturing operations, such as Programmable Logic Controller (PLC), Supervisory Control and Data Acquisition (SCADA), Distributed Control System (DCS), and Manufacturing Execution System (MES), for analytics purposes and identify the current trends and best practices in this area. The findings cover current information on influential researchers, published journals, research trends, industries, industry types, types of analytics applications, methods, and frameworks for acquiring automation & control technologies data from the legacy OT infrastructure. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
227
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
173853920
Full Text :
https://doi.org/10.1016/j.procs.2023.10.519