TY - JOUR
T1 - Acquiring Automation and Control Data in The Manufacturing Industry
T2 - 8th International Conference on Computer Science and Computational Intelligence, ICCSCI 2023
AU - Sama, Andi
AU - Warnars, Harco Leslie Hendric Spits
AU - Prabowo, Harjanto
AU - Meyliana,
AU - Hidayanto, Achmad Nizar
N1 - Publisher Copyright:
© 2023 The Authors. Published by Elsevier B.V.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Data Acquisition
KW - Industry 4.0
KW - IT/OT convergence
KW - Manufacturing
KW - MES
KW - Operational Technology
KW - PLC
KW - SCADA
UR - http://www.scopus.com/inward/record.url?scp=85184349990&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2023.10.519
DO - 10.1016/j.procs.2023.10.519
M3 - Conference article
AN - SCOPUS:85184349990
SN - 1877-0509
VL - 227
SP - 214
EP - 222
JO - Procedia Computer Science
JF - Procedia Computer Science
Y2 - 2 August 2023 through 3 August 2023
ER -