Newcastle University School of Chemical Engineering and Advanced Materials
CONTENTS
Foreword
What is SPC ?
Tools for SPC
Flow charts
  Run charts
  Pareto charts
  Cause and effect diagrams
  Frequency histograms
  Control charts
common cause variations
    special cause variations
    how they work
    types of charts
    assumptions
    properties of the normal PDF
    interpretation
    hypothesis testing
    run rules for Shewhart charts
    CUSUM charts
    relative merits
Process Capability
concepts
  relative capability
  capability index
  performance index
  the message
Summary
References
Copyright Information

 

 
SPC Tools - Cause-and-effect diagrams
  • Cause-and-effect diagrams are also called:
    • Ishikawa diagrams (Dr. Kaoru Ishikawa, 1943)
    • fishbone diagrams
  • Cause-and -effect diagrams do not have a statistical basis, but are excellent aids for problem solving and trouble-shooting
  • Cause-and-effect diagrams can
    • reveal important relationships among various variables and possible causes
    • provide additional insight into process behaviour

     

    Example of a Cause-and-effect diagram


Adapted from Pitt (1994)

 

    Written by: M. Tham