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Home » LMS » Statistical Process Control & Process Capability Course » Process Capability

by Steven Wachs Leave a Comment

Process Capability

Process Capability

Section 4

Process capability assessment is performed to assess how well a product characteristic will meet customer or engineering specifications. Highly capable processes are required in order to provide a consistent and reliable performance for our customers.

This section focuses on the methods used to assess process capability for key characteristics.

This section includes details on:

  • Types of capability assessments
  • Review of stability vs. capability
  • Estimating ppm (parts per million defective)
  • Defining and estimating capability indices (e.g. Cpk)
  • Interpretation and limitations of capability indices
  • Handling nonnormal data

 

 

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About Steven Wachs

Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.

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  • Statistical Process Control & Process Capability Course
    • Module 1:Course Introduction
      • Lesson 1:Course Introduction
      • Contact Steven
    • Module 2:Variation Fundamentals
      • Introduction to Variation Fundamentals
      • Common Cause Variation & Normal Distribution
      • Control Chart Concept
      • In and Out of Control Concepts
      • What is Quality?
      • Viewing Data
      • Central Limit Theorem
      • Sources of Variation
      • Introduction to Process Capability
      • Exercise 1
      • Basic Statistics
      • Minitab Intro & Exercise 2
    • Module 3:Control Charts
      • Introduction to Control Charts
      • Constructing X̄ & R Charts
      • The Purpose of Charts
      • Minitab tutorial & Exercises 3 & 4
      • X̄ & S Charts and Individuals & Moving Range Charts
      • Exercise 5
      • Decisions
      • More Out of Control Signals
      • Reaction to Chart Signals
      • Sampling Considerations
      • Sample Size
      • Calculating Sample Sizes
      • Exercise 6
      • Control Charts Wrap-up
    • Module 4:Process Capability
      • Introduction to Process Capability
      • Proportion Nonconforming
      • Exercise 7
      • Capability Indices — Cp
      • Capability Indices — Cpk
      • Exercises 8 & 9
      • Normality
      • Data Transformations and Minitab
      • Distribution Fitting and Minitab
      • Exercise 10
      • Section 4 Summary
    • Module 5:Short Run Charts
      • Short Run Charts
      • Standardized DNOM Charts
      • DNOM Using Minitab
      • Exercise 11
    • Module 6:Charts for Multiple Locations
      • Multiple Locations Charts
      • Xbar, Rb, and S Charts
      • Xbar, Rb, and D Charts
      • Testing Two Locations
      • Exercise 12
      • Two Way ANOVA
      • Exercise 13
    • Module 7:CUSUM Charts
      • CUSUM Charts
      • Tabular CUSUM
      • CUSUM Final Notes
      • Exercise 14
    • Module 8:Trending Charts
      • Trending Charts
      • Constructing Trending Charts
      • Exercise 15
    • Module 9:Attribute Charts
      • Attribute Charts
      • p Chart
      • np Chart
      • c Chart
      • u Chart
      • Standardized Charts
      • Exercise
      • Laney’s p Chart
    • Course Summary

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