overview of 7 qc tools
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8/4/2019 Overview of 7 QC Tools
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An Overview of the Seven QC ToolsSeven QC Tools Description Method of use Remarks
Pareto
diagrams
A diagram on which undersirable events or
costs associated with items such as quality
(e.g. number of defects or non-confirming
products), productivity, cost, safety and so
on are stratified according to their causes
or manifestations and plotted in order
There may be large number of undersirable
phenomena or causes or trouble. The Pareto
diagram makes it easy to see which of these
have the most serious effect on quality,
productivity, cost, safety etc. together with
their relative proportions.
Plot the "Other" category at the
far right of the diagram and
ensure that it is not too large.
Cause -and-
effect diagram
A diagram shaped like the bones of a fish
for systematically summarizing the
relationships between quality
characteristics, defects etc. and their
causes.
Useful for searching out the factors that affect
the characteristics, sorting out the
relationships between these factors (causes)
and the characteristics (the results), and
depicting these systenatucally.
Gather the opinions of as many
people as possible in order to
flush out all the relevant factors.
Graphs and
charts
Diagrams for plotting data and showing
temporal changes, statistical breakdowns
and relationships between differentquantities.
Used for organizing data. Use line graphs for
showing time trends, bar graphs for
comparing quantities and pie charts forshowing relative proportions.
Use solid lines, dotted lines,
circles and corosses skillfully for
clarity,
Checksheets Forms specially prepared to enable data to
be collected simply by making check
marks.
Use for tallying the occurrence of the defects
or causes being addressed and graphing or
charting them directly.
Claify the objective and design a
checksheet to suit it.
Histograms Prepared by dividing the data range into
subgroups and counting the number of
points in each subgroup. The number of
points (the frequency) is then plotted as a
height on the diagram.
Prepare separate, stratified histograms for
each of the 4Ms and examine the relationships
between the shapes of the distributions and
the specifications.
Use at least 30 values,
preferably aruond 100
Scatter
diagrams
Prepared by plotting paired sets of data
such as hardness and tensile strength,
temperature and yield, porosity and
insulation resistance, etc. against each
other on X and Y axes.
Collect paired sets of data on causes and
effects, and use scatter diagrams to check for
correlation between the sets of data.
Use at least 30 values, 50 if
possible.
Control charts Prepared by plotting time along the
horizontal axis and a characteristic value on
the vertical axis. Unlike line graphs, they
also show the control limit lines.
Use to check whether there are too many
chronic defets, too much variation, values
lying outside the control limits, or undesirable
trends or cycles. Control charts show whether
or not a process is in control.
Think about the best method of
stratification and pay close
attention to subgrouping.