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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 proactively drive quality improvement.
Participants gain the fundamental knowledge necessary to implement Statistical
Process Control and learn to avoid the common misapplications 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 nonnormal 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
 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

Control Charts
 Constructing Charts (Variable Data)
 Xbar/R , Xbar/S, IMR 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

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 NonNormal Data (Overview)

Specialized Charts
 Short Run Charts
 Within/Between Charts (Multiple Locations)
 CUSUM Charts
 Trending Charts
 Charts for Attribute Data