(Including but not limited to the following topics)
Track 1: Industrial Statistics and Quality Data Analysis
Statistical Process Control and Monitoring
Experimental Design and Optimization
Measurement System Analysis
Statistical Modeling and Inference
Bayesian Statistics and Uncertainty Quantification
Multivariate Statistical Methods
Regression Analysis and Predictive Modeling
Nonparametric Statistical Methods
Statistical Computing and Simulation
Data-driven Process Optimization
Industrial Big Data Statistical Analysis
Statistical Quality Engineering
Track 2: Quality Control and Quality Engineering
Quality Engineering and Quality Management
Process Capability Analysis and Improvement
Six Sigma and Lean Quality
Quality Function Deployment
Online Quality Inspection and Monitoring
Intelligent Quality Inspection Technology
Quality Cost and Quality Economics
Quality Audit and Certification
Supplier Quality Management
Quality improvement and continuous optimization
Digital quality management
AI-driven quality control
Track 3: Reliability engineering and risk analysis
Reliability modeling and assessment
Failure physics and failure analysis
Accelerated life testing and reliability verification
Degradation modeling and remaining life prediction
Fault tree and event tree analysis
System reliability and safety
Maintainability and availability analysis
Reliability optimization design
Reliability growth and screening
Risk analysis and risk assessment
Reliability test design
Reliability data analysis