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Run Charts

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Kim I. Melton, 2005. Control Charts. A Run Chart with statistically calculated limits ... Kim I. Melton, 2005. Run Charts. If the process is stable all of ... – PowerPoint PPT presentation

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Title: Run Charts


1
Run Charts
  • Measurements for a process characteristic are
    plotted in time order
  • Patterns in the data indicate special causes of
    variability
  • Trends
  • Clusters
  • A repeating pattern
  • No variability in plotted points

2
Control Charts
  • A Run Chart with statistically calculated limits
  • Limits are based on data collected from the
    process
  • If points plot within the limits and show no
    patterns, the process is said to be "in control"
    or stable
  • If the process is considered stable, limits
    represent the expected range of variation for the
    value plotted
  • A process that is in control is predictable (it
    may or may not be producing desirable output)

3
Setting Up Control Charts
  • Step 1 Determine question(s) to be answered
  • Step 2 Design data collection plan and collect
    data
  • Step 3 Plot run chart and look for obvious
    patterns
  • Step 4 If no patterns, calculate control limits
    (using formulas for the appropriate type of
    chart)
  • Step 5 Conduct runs tests
  • Step 6 Interpret the chart
  • Step 7 Determine appropriate type of action and
    take steps to accomplish this

4
Control ChartsAttributes Data
  • p or np charts
  • "n" items are studied
  • each item is classified in one of two categories
  • we are counting the number in one of the
    categories
  • a p chart plots the proportion in one category
  • an np chart plots the number in one category
  • c or u charts
  • an inspection unit (IU) is defined
  • the number of occurrences are counted and plotted

5
Control ChartsVariables Data
  • X-bar and R charts (used together)
  • X-bar (the average of n observations) attempts to
    assess location
  • R (the range of n observations) attempts to
    assess spread
  • X and Moving Range charts (used together)
  • When there is no logical grouping, individual
    values are plotted on the X chart
  • A moving range is used to assess spread

6
Determine characteristic to study
Counting or Measuring
counting
measuring
Attributes Data
Variables Data
Classifying into two categories?
How manyitems persubgroup?
no
yes
one
2 to 8
Constant subgroup size?
Constant area of opportunity?
ConsiderX/mR
yes
no
yes
no
Considernp or p
Considerp
Considerc
Consideru
7
Situations for Study
  • Insurance Company Quote Lines
  • Time to make quotes
  • Nursing Home Meal Delivery Process
  • Timeliness
  • Complaints
  • Mental Health Facility's Use of 11s
  • Number of orders per week

8
Run Charts
  • If the process is stable all of the following
    will be true
  • Most points will plot near some central value
  • Some variation will exist
  • Individual points will not be predictable, but
    the overall clustering of points will be
    predictable
  • No patterns will show up

9
Runs Tests-Melton
  • A control chart fails to show stabilityif any of
    the following occur
  • at least one point plots outside the control
    limits
  • two of three consecutive points in the same A
    zone
  • fifteen consecutive points plot in the C zones
  • more than seven consecutive points on the same
    side of the center line
  • seven or more consecutive increases (or
    decreases)
  • fifteen consecutive points alternating up and
    down

Note Other runs tests are available in other
books.
10
LCL 6.386 CL 15.467UCL 24.547
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