Six Sigma Definitions
- A short introduction to Six Sigma
- Six Sigma Terms
Objectives of Statistical Process Control
- Create visibility of process performance
- Increase process knowledge
- Show process stability
- Prove process capability
- Support the continuous improvement process
Some Mandatory Basic Statistics
- Mean Value, Median, Range
- Standard Deviation
- Normal Distribution
- Histogram and Time Series Plot
The Two Types of Variability
- Common cause variability
- Special cause variability
Control Charts
- Types of control charts
- Design a control chart
- Setting up control charts in Minitab®
- Control limits and specification limits
- Why is 3s taken as limit?
- Changing control limits
Reading Control Charts to improve the Process
- Statistical rules
- Identifying patterns
- Performance windows
- General rules
Deploying and Managing SPC - Connecting SPC to Continuous Improvement
- Deployment Top-Down versus Bottom-Up
- Root cause analysis
- Paper based versus electronic control charts
- Management system / cycle
Reasons to Implement Control Charts
- Link to quality control
- Link to quality assurance
- Benefits from SPC
Measurement System Analysis and SPC
- Using control charts to do a MSA
- Accuracy of data
- Triangle of Variability
SPC as Tool for Continued Process Verification
- Continued Process Verification: Requirements
- Case Study Sanofi-Aventis
Process Capability – What is the Risk of Failure of My Process?
- Cp, Cpk versus Pp, Ppk
- Long term versus short term capability
- Process robustness
Case Study Control Charts and Trending of Microbiological Data
- Trending Monitoring Data as Part of the Facility Control Concept
- Smart Setting of Alert- and Action levels
- Definition of Adverse Trends
- Periodic Data Review
- Designing a Reduced EM Program
Q & A Sessions
Three Q &A sessions (two on day 1 and one on day 2) ensure interaction and that your questions are answered.