Course

Stability and Capability in Quality Improvement

University of Colorado Boulder

Enhance your skills in quality improvement with the Stability and Capability in Quality Improvement course. This comprehensive program delves into the critical aspects of analyzing process stability, statistical control, and capability for quality improvement. Through a combination of theoretical concepts and practical applications using R software, you will develop a deep understanding of how to assess and improve processes to meet customer specifications.

Throughout this course, you will learn to identify special causes of variation, create and interpret control charts for both continuous and discrete data, and analyze the capability of a process to meet customer specifications. With an emphasis on practical skills, you will gain hands-on experience in using, selecting, and interpreting process control charts to ensure process stability and make informed decisions for process improvement.

  • Understand the importance of process stability prior to statistical hypothesis testing
  • Create and interpret control charts for normal and non-normal distributions
  • Analyze process capability to meet customer specifications

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Stability and Capability in Quality Improvement
Course Modules

The course modules cover essential topics including understanding process variation, control charts for different data types, non-normally distributed data, and process capability assessment.

Understanding Process Variation, Process Control and Control Charts

Module 1: Understanding Process Variation, Process Control and Control Charts

  • Gain insights into process variation and the purpose of control charts
  • Learn to create control charts for continuous and discrete data using R software
  • Understand the importance of process dominance and conformance quality

Xbar and R / Xbar and S Charts / X and MR Charts

Module 2: Xbar and R / Xbar and S Charts / X and MR Charts

  • Explore mean and range charts for process control
  • Understand the setup and machine dominant processes
  • Learn to utilize different types of control charts for effective process monitoring

X and Moving Range Charts for Non-Normally Distributed Data

Module 3: X and Moving Range Charts for Non-Normally Distributed Data

  • Delve into handling non-normally distributed data with control charts
  • Learn about distribution fitting and goodness of fit testing
  • Select the best fit for non-normally distributed data and create control charts

Process Capability

Module 4: Process Capability

  • Understand the difference between process control and process capability
  • Explore capability indices and performance measures
  • Analyze process capability using different types of control charts

Control Charts for Discrete Data

Module 5: Control Charts for Discrete Data

  • Introduction to attribute control charts for discrete data
  • Explore different types of control charts such as p, np, c, and u charts
  • Understand how to effectively monitor and control discrete data processes
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