**Course Overview**

This course covers methods for assessing and improving process capability. Since process capability assessments only have predictive value for stable processes, Statistical Process Control is covered in some detail. The importance of adequate measurement systems is discussed and measurement systems analysis (gage R&R) is introduced. Methods for estimating Process Capability are covered for both normal and non-normal data. Several tools and statistical methods for improving process capability are also introduced.

**Seminar Content**

- Key Characteristics
- Flowchart for Assessing Process Capability
- Identifying Key Characteristics
- Fundamentals of Process Control
- Cause and Effect
- Control Plans

- Understanding Variation and Key Concepts
- Viewing Data
- The Normal Distribution
- Spec Limits vs. Control Limits
- Defining Stability and Capability
- The Central Limit Theorem
- Introduction to SPC/Control Charts
- Common and Special Cause Variation
- Basic Statistics

- Measurement Systems Assessment
- Terminology
- Repeatability & Reproducibility
- Linearity
- Gage R&R Studies & Assessment Criteria
- Attribute Studies
- SPC for Measurement Systems

- Assessing Stability with Control Charts
- Traditional Charts (Xbar R/S, I/MR)
- Interpreting Charts
- Rational Sampling and Sample Sizes
- Introduction to Short Run SPC
- Introduction to Other Charts

- Assessing Process Capability
- Methods for Normal Data – ppm, Cpk, Ppk
- Testing for Normality
- Methods for Nonnormal Data

- Improving Process Capability
- Reducing Variation
- Problem Solving Tools for Reducing Variation
- Statistical Methods for Reducing Variation
- Overview of Design of Experiments (DOE)