# Statistical Process Control & Process Capability

Course Overview

This course is a great place to learn about what really drives product quality and how to monitor processes to pro-actively drive quality improvement. Participants gain the fundamental knowledge necessary to implement Statistical Process Control and learn to avoid the common mis-applications in practice. Knowledge of basic algebra is helpful but not required.

The objective of the SPC/Process Capability  curriculum is to provide participants with the analytical tools and methods necessary to:

Course Objective

• Understand SPC fundamentals and the importance of reducing variation
• Implement control charting in order to assess process stability
• Interpret control chart signals and implement appropriate reaction plans
• Determine appropriate sampling plans and sample sizes
• Assess process capability (for normal and non-normal data)
• Apply charting techniques for short production runs
• Apply charting methods where multiple sources of variation may exist (e.g. multiple cavities, filling heads)
• Apply SPC for naturally trending data (e.g. due to tool wear)
• Determine the appropriate type of chart for a given process
• Avoid common misapplications of SPC in practice

Seminar Content

1. Variation Fundamentals
• Concept of Variation
• The Normal Distribution
• Control Chart Concepts/Examples
• Control Limits vs. Specification Limits
• Definition of Control/Stability
• Definition of Quality
• Sources of Variation
• Process Capability Concepts
• Quality Control vs. Process Control
• Basic Statistics
• Individuals, Averages, and the Central Limit Theorem
2. Control Charts
• Constructing Charts (Variable Data)
• Xbar/R , Xbar/S, I-MR Charts
• Chart Signals for Special Causes
• Interpreting Charts
• Type I and Type II Errors
• Recomputing Control Limits
• Sampling Procedures and Frequency
• Rational Samples
• Chart Sensitivity / Sample Size
• Determining Appropriate Sample Sizes
• Control Chart Selection
3. Process Capability
• Stability vs. Capability
• Types of Capability Assessments
• Estimating PPM / Proportion Defective
• The Standard Normal (Z Values)
• Capability Indices: Cp, Cpk, Pp, Ppk
• Interpreting Indices
• Process Capability for Non-Normal Data (Overview)
4. Specialized Charts
• Short Run Charts
• Within/Between Charts (Multiple Locations)
• CUSUM Charts
• Trending Charts
• Charts for Attribute Data