(Including but not limited to the following topics)
Track 1: Intelligent Manufacturing and Digital Quality
Intelligent manufacturing systems and architectures
Digital twins and virtual manufacturing
Industrial Internet of Things and equipment interconnection
Online monitoring and sensing of manufacturing processes
Data-driven process optimization
Additive manufacturing and process quality
Intelligent inspection and visual quality control
Human-machine collaboration and manufacturing ergonomics
Reliability of manufacturing systems and maintenance
Application of AI and machine learning in manufacturing
Smart factories and production scheduling
Industrial big data and edge computing
Track 2: Industrial Statistics and Quality Data Analysis
Statistical process control and diagnosis
Experimental design and optimization
Measurement system analysis and calibration
Statistical modeling and inference
Bayesian statistics and uncertainty quantification
Multivariate statistical methods
Regression analysis and predictive modeling
High-dimensional data analysis
Data streams and online data analysis
Non-parametric statistical methods
Statistical computing and simulation
Quality engineering and applied statistics
Track 3: Quality Control and Reliability Engineering
Quality engineering and quality management
Process capability analysis and improvement
Six Sigma and lean quality
Online quality inspection and monitoring
Intelligent quality inspection technology
Quality cost and quality economics
Quality audits and certifications
Supplier Quality Management
Reliability modeling and assessment
Degradation modeling and remaining life prediction
Accelerated life testing and reliability verification
Fault diagnosis and health management
System reliability and safety
Risk analysis and decision-making
AI-driven quality control and reliability