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.