Scopes
This includes but is not limited to the following contents:
Track 1: Intelligent Manufacturing Systems and Optimization
Manufacturing Automation and Flexible Manufacturing Systems
Digital Twin and Intelligent Factory Modeling
Industrial Internet of Things and Manufacturing System Integration
Production Planning and Scheduling Optimization
Intelligent Quality Inspection and Defect Prediction
Manufacturing Process Monitoring and Adaptive Control
Additive Manufacturing and Process Optimization
Human-Machine Collaboration and Ergonomics
Green Manufacturing and Energy Efficiency
Manufacturing System Reliability and Maintenance Optimization
Track 2: Machine Learning and Industrial Intelligence
Machine Learning and Deep Learning Applications in Industry
Predictive Maintenance and Fault Diagnosis
Industrial Big Data Analysis and Mining
Manufacturing Process Modeling and Optimization
Computer Vision and Industrial Inspection
Reinforcement Learning and Production Scheduling
Knowledge Graph and Industrial Reasoning
Edge Intelligence and Real-time Reasoning
Interpretable AI and Industrial Trustworthy Systems
Federated Learning and Industrial Data Privacy
Track 3: Industrial Engineering and Intelligent Manufacturing
Production and Operations Management
Supply Chain and Logistics Optimization
Quality and Reliability Engineering
Lean Manufacturing and Process Improvement
Human Factors Engineering and Work Design
Project Management and Engineering Economics
Industrial Safety and Risk Management
Service Operations and Organizational Management
Intelligent Manufacturing Resource Allocation
Digital Operations and Decision Support
Track 1: Intelligent Manufacturing Systems and Optimization
Manufacturing Automation and Flexible Manufacturing Systems
Digital Twin and Intelligent Factory Modeling
Industrial Internet of Things and Manufacturing System Integration
Production Planning and Scheduling Optimization
Intelligent Quality Inspection and Defect Prediction
Manufacturing Process Monitoring and Adaptive Control
Additive Manufacturing and Process Optimization
Human-Machine Collaboration and Ergonomics
Green Manufacturing and Energy Efficiency
Manufacturing System Reliability and Maintenance Optimization
Track 2: Machine Learning and Industrial Intelligence
Machine Learning and Deep Learning Applications in Industry
Predictive Maintenance and Fault Diagnosis
Industrial Big Data Analysis and Mining
Manufacturing Process Modeling and Optimization
Computer Vision and Industrial Inspection
Reinforcement Learning and Production Scheduling
Knowledge Graph and Industrial Reasoning
Edge Intelligence and Real-time Reasoning
Interpretable AI and Industrial Trustworthy Systems
Federated Learning and Industrial Data Privacy
Track 3: Industrial Engineering and Intelligent Manufacturing
Production and Operations Management
Supply Chain and Logistics Optimization
Quality and Reliability Engineering
Lean Manufacturing and Process Improvement
Human Factors Engineering and Work Design
Project Management and Engineering Economics
Industrial Safety and Risk Management
Service Operations and Organizational Management
Intelligent Manufacturing Resource Allocation
Digital Operations and Decision Support
Important Dates/重要日期
- Submission Deadline: November 10th, 2026
- Registration Deadline: November 20th, 2026
- Conference Date: November 29th, 2026
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: submit-ic@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
肖老师
+86-17172888836(微信同号)
3770887106
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+86---(微信同号)
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