Monitoring and Control of Intelligent Manufacturing

Dear Colleagues,

In the realm of modern manufacturing, the integration of advanced technologies, such as artificial intelligence (AI), Internet of Things (IoT), big data analytics, and robotics, has promoted the development of intelligent manufacturing. This paradigm shift towards intelligent manufacturing has revolutionized traditional production processes by enhancing efficiency, quality, and flexibility while reducing costs.

At the core of intelligent manufacturing lies the concept of monitoring and control. Monitoring involves real-time data collection, analysis, and visualization, providing insights into the performance and status of manufacturing operations. Control, on the other hand, focuses on utilizing these insights to make data-driven decisions.

This Special Issue is dedicated to presenting various issues that affect the technologies used for the monitoring and control of intelligent manufacturing. Topics of particular interest include AI, IOT, big data analytic methods, production planning, job scheduling, degradation modeling, fault diagnosis, prognostics, and health management.

Dr. Jiawen Hu
Guest Editor

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• intelligent manufacturing
• AI
• production planning
• job scheduling
• degradation modeling
• fault diagnosis
• prognostics and health management