Introduction to Quality Improvement

Course Overview

This course introduces participants to the fundamental concepts and methods necessary to implement a quality improvement program. Participants learn the philosophy of process understanding and control to prevent problems rather than product control (inspection), which is reactive in nature. The importance of minimizing variation is stressed. Basic quality tools and graphical methods are presented. Also, an introduction to statistics and distributions for describing data is covered. Finally, many applications of statistical methods for quality and reliability improvement are introduced.

Seminar Content

Definitions and Concepts

Understanding Variation
Defining Quality
Fundamentals of Process Control
Cause and Effect

Basic Quality Improvement Tools

Pareto Charts
Run Charts and Control Charts
Box Plots
Histograms
Scatter Plots

Basic Statistics & Distributions

Data Types
Measures of Central Tendency
Measures of Variation
Probability Distributions
The Normal Distribution

Introduction to Applications of Statistical Methods

Measurement System Assessment
Statistical Process Control
Process Capability
Design of Experiments
Reliability/Weibull Analysis
Hypothesis Testing
Regression Analysis

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