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

Andi Sama, Harco Leslie Hendric Spits Warnars, Harjanto Prabowo, Meyliana, Achmad Nizar Hidayanto

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Pages (from-to)214-222
Number of pages9
JournalProcedia Computer Science
Volume227
DOIs
Publication statusPublished - 2023
Event8th International Conference on Computer Science and Computational Intelligence, ICCSCI 2023 -
Duration: 2 Aug 20233 Aug 2023

Keywords

  • Data Acquisition
  • Industry 4.0
  • IT/OT convergence
  • Manufacturing
  • MES
  • Operational Technology
  • PLC
  • SCADA

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