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

  1. Definitions and Concepts
    • Understanding Variation
    • Defining Quality
    • Fundamentals of Process Control
    • Cause and Effect
  2. Basic Quality Improvement Tools
    • Pareto Charts
    • Run Charts and Control Charts
    • Box Plots
    • Histograms
    • Scatter Plots
  3. Basic Statistics & Distributions
    • Data Types
    • Measures of Central Tendency
    • Measures of Variation
    • Probability Distributions
    • The Normal Distribution
  4. Introduction to Applications of Statistical Methods
    • Measurement System Assessment
    • Statistical Process Control
    • Process Capability
    • Design of Experiments
    • Reliability/Weibull Analysis
    • Hypothesis Testing
    • Regression Analysis