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