Statistical Process Control

Public Session Dates and Prices

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. 

Seminar Content

SPC Fundamentals
· Concept of Variation
· The Normal Distribution
· Control Limits vs. Specification Limits
· Definition of Control/Stability
· Definition of Quality
· Quality Control vs. Process Control

A Central Limit Theorem
· Introduction to Non-Normal Data
· The Central Limit Theorem

Conceptual Implementation of SPC
· Measurement Systems Issues
· Monitoring Process Behavior
· Xbar and R Chart Concepts

Sources of Variation
· Common and Special Cause Sources
· Detecting Special Cause Sources

Xbar and R Charts
· Differences Between Measurements and Averages
· Computing Control Limits and Charting

Chart Interpretation
· Type I and Type II Errors
· Guidelines for Analysis of Charts
· Out of Control Signals 

Basic Statistics
· Population versus Sample
· Notation
· Measures of Central Tendency (Mean, Mean)
· Measures of Variation (Range, Standard Deviation, Variance)

Sampling
· Random, Systematic, and Rational Samples
· Importance of Rational Sampling 

Sensitivity
· Impact of Sample Size on Chart Sensitivity 
· Determining Sample Size

Process Capability
· Stability vs. Capability
· The Standard Normal
· Z Values
· Computing Proportion Defective
· Capability Indices: Cp, Cpk, Pp, Ppk

Other Charts
· Individuals & Moving Ranges
· Xbar and S Charts
· Attribute Charts (p, np, c, u)