Guest Editors
Dr. Prince Waqas Khan, West Virginia University, USA
Dr. Thorsten Wuest, West Virginia University, USA
Dr. Imran, King Fahd University of Petroleum and Minerals, Saudi Arabia
Summary
Smart manufacturing, also called Industry 4.0, involves combining advanced technologies like artificial intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and cyber-physical systems in manufacturing in order to improve efficiency, productivity, and flexibility. AI has a lot of practical applications in smart manufacturing. It is essential in facilitating intelligent decision-making, predictive maintenance, process optimization, and automated quality control for smart manufacturing. This special issue aims to gather the most recent advancements in applications of AI and ML within Smart Manufacturing. The special issue will cover various topics, including but not limited to:
· ML and deep learning techniques for predictive maintenance and condition monitoring
· AI-powered process optimization and control for efficient resource utilization
· Computer vision and robotics applications in smart manufacturing
· AI-driven supply chain management and logistics optimization
· Integration of AI with IoT, cyber-physical systems, and digital twins
· AI-based quality control and defect detection
· Explainable AI and trustworthy AI for transparent decision-making
· Case studies and real-world applications of AI in various manufacturing domains
· AI for cybersecurity in Industry 4.0
· AI for cyber resilience in Industry 4.0
· AI for prediction of climate change from Industry 4.0
Keywords
Artificial Intelligence, Smart Manufacturing, Industry 4.0, Machine Learning, Deep Learning, Computer Vision, Robotics, Predictive Maintenance, Process Optimization, Supply Chain Management, Quality Control, Explainable AI, Trustworthy AI
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