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Artificial Intelligence and Industrial Automation

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lightbulbAbout this topic
Artificial Intelligence and Industrial Automation is the integration of AI technologies into manufacturing and production processes to enhance efficiency, optimize operations, and enable autonomous decision-making. This field encompasses machine learning, robotics, and data analytics to improve productivity and reduce human intervention in industrial settings.
lightbulbAbout this topic
Artificial Intelligence and Industrial Automation is the integration of AI technologies into manufacturing and production processes to enhance efficiency, optimize operations, and enable autonomous decision-making. This field encompasses machine learning, robotics, and data analytics to improve productivity and reduce human intervention in industrial settings.

Key research themes

1. How can Artificial Intelligence and Machine Learning optimize manufacturing processes and enable smart factory capabilities in the context of Industry 4.0?

This theme investigates the integration of AI and ML techniques with Industry 4.0 technologies to enable smart manufacturing. It focuses on real-time data collection via IoT devices, predictive analytics for maintenance, quality control, process optimization, and enhanced decision-making in automated industrial environments. Understanding these applications is critical for increasing manufacturing efficiency, flexibility, and productivity in dynamic production settings.

Key finding: The paper demonstrates that ML techniques, leveraging sensors and IIoT data, enable predictive maintenance, process optimization, quality improvement, and supply chain management within Industry 4.0 frameworks. It highlights... Read more
Key finding: This study identifies the practical AI infrastructure needs for manufacturing, including scalable storage, networking, high computational capacity, and AI-optimized software for process control. It illustrates successful... Read more
Key finding: The research presents a cost-effective AI-assisted machine supervision system using consumer-grade electronics and computer vision to automate real-time monitoring and anomaly detection in SMEs. By classifying worker... Read more
Key finding: This paper demonstrates the development of ML algorithms enabling autonomous mobile robots for navigation, task scheduling, and energy-efficient operation within industrial environments. The integration of vision-based SLAM... Read more

2. How does the integration of Digital Twins and AI facilitate manufacturing system reconfiguration and decision-making under dynamic demand conditions?

This research area focuses on leveraging digital twin technologies combined with AI to create virtual representations of manufacturing systems that support adaptive reconfiguration, optimization, and real-time decision-making. It addresses the challenges of mass customization, production line flexibility, and operational resilience by simulating various scenarios and optimizing process parameters to respond effectively to fluctuating customer demands or disruptions.

by Fan Mo and 
1 more
Key finding: The paper proposes a novel framework combining digital twin simulations with AI algorithms (e.g., genetic algorithms, particle swarm optimization) for manufacturing system reconfiguration. It enables virtual testing of... Read more
Key finding: The study highlights the use of AI-powered robotics and intelligent sensors integrated with ML models to automate anomaly detection, predictive maintenance, and digital twin simulations in industrial plants, enabling... Read more
Key finding: This research develops an FMEA-based risk assessment approach for AI model deployment in manufacturing, focusing on identifying model failure modes under varying production conditions using AI-enhanced digital twins. By... Read more

3. What are the organizational and socio-economic impacts of implementing AI and automation technologies in the industrial sector, and how can governance address associated challenges?

This theme explores how AI and automation reshape organizational culture, labor dynamics, and economic equity in industrial and emerging economies. It examines employee resistance, leadership adaptation, and workforce displacement concerns alongside productivity gains. Additionally, it addresses socio-economic inequalities exacerbated by AI-driven automation and the role of policy interventions such as robot taxation and education investment to balance innovation with social equity.

Key finding: This systematic review highlights how AI-enabled automation disproportionately impacts low-skilled workers in Africa, exacerbating income inequality and challenging tax revenue structures. It advocates for robot taxation... Read more
Key finding: This work discusses AI integration in programmable logic controllers (PLCs) for industrial machines, emphasizing the transition from manual relay logic to AI-empowered automated control. It highlights the need for intelligent... Read more

All papers in Artificial Intelligence and Industrial Automation

Since September 11, 2001, countries the world over has invested considerable resources to improving aviation security. Despite technology and procedural improvements, passenger screening remains subject to much criticism. Challenges to... more
Intense competition in today's economy, the shrinking life cycles of products, and the heightening expectations of customers have forced business enterprises to focus their attention on correctly arranging and controlling their production... more
The objective of this research is to design a "Microcomputer Based Multipoint Time Operated Power Switching System" (with overload protection). The system is made up of eight relays that can be controlled independently through the... more
This research pursues inductive/deductive approach by studying existing techniques for fraud detection and customer churn prediction. Telecommunication operators for instance store large amounts of data related with the activity of their... more
In the highly competitive manufacturing environment, many companies around the world are searching for ways to improve manufacturing performance. This is in response to changes in the manufacturing environment reflected by shortened... more
In electronics, testing tools is a major part when it comes to laboratory work. It’s a part of everyday activity to use one or several too while working on electrical system. No workman can do without testing tools. It is of great... more
Purpose: The objective of this research is to design a traffic model for optimum performance analysis and enhancements of IEEE 802.11b QOS parameters. It investigated the effect of traffic distribution on the quality of service parameter... more
Street light has become part of our environment. Good street lighting provides and enhances safety in the community for residents, pedestrians and road users. Street lighting helps people feel safe and helps to reduce car crashes and... more
This research has developed an extended Artificial Neural Networks (ANN) based high speed accurate transmission line fault location for double phase to- earth fault on non-direct-ground. Therefore, this research presents a system that... more
This research has developed an extended Artificial Neural Networks (ANN) based high speed accurate transmission line fault location for double phase to- earth fault on non-direct-ground. Therefore, this research presents a system that... more
This study assessed the impact of Information and Communication Technology (ICT) on the performance of commercial banks in Nigeria for the period 1991 to 2012 using data sourced from 11 sampled commercial banks in Onitsha, Anambra State.... more
The objective of this research is to design a traffic model for optimum performance analysis and enhancements of IEEE 802.11b QOS parameters. It investigated the effect of traffic distribution on the quality of service parameter on WLAN,... more
This study assessed the impact of Information and Communication Technology (ICT) on the performance of commercial banks in Nigeria for the period 1991 to 2012 using data sourced from 11 sampled commercial banks in Onitsha, Anambra State.... more
In the highly competitive manufacturing environment, many companies around the world are searching for ways to improve manufacturing performance. This is in response to changes in the manufacturing environment reflected by shortened... more
Intense competition in today’s economy, the shrinking life cycles of products, and the heightening expectations of customers have forced business enterprises to focus their attention on correctly arranging and controlling their production... more
Intense competition in today's economy, the shrinking life cycles of products, and the heightening expectations of customers have forced business enterprises to focus their attention on correctly arranging and controlling their... more
This paper examined solving electric power transmission line faults using hybrid artificial neural network modules. This paper focuses on detecting, classifying and locating faults on electric power transmission lines. The fundamental... more
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