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Run Chart

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  • Message: 34116
    Posted by: Simpy Sadana
    Posted on: Friday, 10th October 2003


    How and why do we make a Run chart and what is its significance?


    Message: 34118
    Posted by: Ex Ex-MBB
    Posted on: Friday, 10th October 2003

    There are several tools that you can use to evaluate process performance over time:

    • Run charts: (ala Minitab) view this as a naked control chart.  You have a center line (which you can place as the mean or median), but you do not have control limits.  Minitab lets you do several things: you can actually subgroup if your samples have employed a rational subgrouping strategy; there are also statistical tests (for trends, oscillations, mixtures, and clustering); and of course, you can "eyeball" the chart to see if there are any patterns that would suggest trends, oscillations, mixtures, and clusters.
    • Control charts: lets you assess stability of the process over time.  Will actually generate signals for out of control conditions.  You can also subgroup data.
    • Time Series Plot: just a plot of the data over time.  Strictly an "eyeball" chart.  To the best of my knowledge, you cannot automatically subgroup the data in Minitab

    Hope this is what you were seeking...


    Message: 128868
    Posted by: panneerselvam
    Posted on: Friday, 19th October 2007

    full deatial on run chart.


    Message: 128870
    Posted by: fake accrington alert
    Posted on: Friday, 19th October 2007

    You  shouldn't  ask  such  basic  simple  questions


    Message: 128877
    Posted by: Sam
    Posted on: Friday, 19th October 2007

    Hi All:

    I have been in this field (six sigma) for around two years now, am still learning about the methodology & tools. Would really appreciate if all the knowledgeable people on this forum can help me with my questions.

    Just saw this thread on Run chart, so wanted to clarify my doubts as well:

    In Minitab the chart gives me information about four types of non-random behavior in my data, viz.

    1. Cluster, 2. Mixtures, 3. Trends, & 4. Oscillations

    My questions are:

    a. If I don't look at the p value, how can I by just looking at the chart say that there is any one of the four non-random behavior in my data? How will a clustered data or mixture or trend or oscillation look like?

    b. Is  there any rule / thumb rule about the number of data points to be used for run chart? If I am working on weekly data, how many weeks of data will I require. 

    Is there any link from where I can get all this information. I have searched on google but nowhere did I get the detailed information.

    Any help is highly appreciated.

    Thanks,

    Sam


    Message: 128878
    Posted by: GrayR
    Posted on: Friday, 19th October 2007

    Davis Balestracci has a good article on Run Charts in Quality Digest this month:  http://www.qualitydigest.com/currentmag/departments/spc_guide.shtml


    Message: 134278
    Posted by: Yogi
    Posted on: Monday, 21st January 2008

    Clustering:  lot of data points fall on one side of the median (next to each other) and indicates periodic shifts

    Mixture:  Absence of points near center line with 14 or more data points alternating up or down

    Oscillation:  Data points constantly fluctuating  up and down rapidly around median

    Trend:  7 or more data points continously increase/ decrease





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