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

by Steven Wachs Leave a Comment

Control Charts

Control Charts

Section 3

An important prerequisite for assessing Process Capability is to first establish process stability (i.e. process control). Furthermore, since changes in materials, equipment, people, and the environment are bound to occur, methods are needed to detect such changes which may produce harmful consequences if not detected and addressed. This section focuses on the use of control charts to assess process stability and establish process control.

This section includes details on:

  • Constructing control charts for variable data
  • Chart signals for special cause variation
  • Interpreting chart signals
  • Sampling procedures and frequency
  • Chart sensitivity and sample size determination
  • Control chart selection
  • Reaction plans

 

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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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