Leveraging Digital Twins for Enhanced PLC Performance and Maintenance in Industrial Automation

This study analyzes the new use of digital twins technology in programmable logic controllers (PLC) within the scope of industrial automation. The goal of this work is to show the possibilities of applying digital twins in conjunction with PLCs for industrial purposes. The integration of digital twins with PLCs may provide substantial benefits in operational efficiency, predictive maintenance, process optimization, and innovation across various sectors. Following the methodology of bibliographic survey, which is rather limited due to the novelty of the topic, several examples have been spotted. Through these examples, the impact of digital twins on production optimization, maintenance, monitoring, remote operation, and virtual commissioning are examined. The case examples also address challenges related to guaranteeing the quality of data constraining scalability, and issues of security in the implementation of digital twins and PLCs. The paper explores future directions, such as advanced analytics, IoT applications, virtual reality, and standardized interface metrology. The development of digital twins in regards to PLCs has enormous potential and can help organizations to become more efficient, optimized, and competitive in industrial automation. Embracing this technology provides new opportunities for organizational operations and drives improvement on a continuous basis.

Authors

Institutions

Publication Details

Journal
International Journal of Electrical Engineering and Computer Science
Published
2025-09-09
DOI
https://doi.org/10.37394/232027.2025.7.13
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging Digital Twins for Enhanced PLC Performance and Maintenance in Industrial Automation

Ioannis Giachos, Ευάγγελος Χρήστος Παπακίτσος, Nikolaos Laskaris, Kentaro Mita et al.
International Journal of Electrical Engineering and Computer Science
Digital Transformation in Industry
article

Leveraging Digital Twins for Enhanced PLC Performance and Maintenance in Industrial Automation

Ioannis Giachos, Ευάγγελος Χρήστος Παπακίτσος, Nikolaos Laskaris, Kentaro Mita, Michail Papoutsidakis, Christos Drosos
article en

Abstract

This study analyzes the new use of digital twins technology in programmable logic controllers (PLC) within the scope of industrial automation. The goal of this work is to show the possibilities of applying digital twins in conjunction with PLCs for industrial purposes. The integration of digital twins with PLCs may provide substantial benefits in operational efficiency, predictive maintenance, process optimization, and innovation across various sectors. Following the methodology of bibliographic survey, which is rather limited due to the novelty of the topic, several examples have been spotted. Through these examples, the impact of digital twins on production optimization, maintenance, monitoring, remote operation, and virtual commissioning are examined. The case examples also address challenges related to guaranteeing the quality of data constraining scalability, and issues of security in the implementation of digital twins and PLCs. The paper explores future directions, such as advanced analytics, IoT applications, virtual reality, and standardized interface metrology. The development of digital twins in regards to PLCs has enormous potential and can help organizations to become more efficient, optimized, and competitive in industrial automation. Embracing this technology provides new opportunities for organizational operations and drives improvement on a continuous basis.

International Journal of Electrical Engineering and Computer ScienceVol. 7
University of West Attica (GR)
Openalex Percentile: Top 65%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.