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  • #54124

    mpeters
    Guest

    hello .
    I am new to six sigma and working on a project for control charts . the data provided is as follows
    Wait cust
    1 10
    2 17
    3 29
    4 39
    5 55
    6 64
    7 28
    8 6
    9 5
    10 3
    11 39
    12 46
    13 35
    14 30
    15 6
    16 32
    17 33
    18 11
    19 20
    20 13
    21 9
    22 14
    23 12
    24 30
    25 56
    26 62
    27 73
    28 54
    29 10
    30 9
    the question is Upper control limit for the range chart: 44.95
    Upper control limit for the individuals: 64.93
    Lower control limit for the individuals: 0.00
    Is the system stable? Explain your answer. no there are points out of control limits

    Is the measurement system discriminate?

    If the process is unstable, how could you determine what is causing the instability?

    I answered the first columsn with UCL and LCL , I need help with the last two.
    Ty
    Mike

    0
    #193781

    mpeters
    Guest

    the data is 10
    17
    29
    39
    55
    64
    28
    6
    5
    3
    39
    46
    35
    30
    6
    32
    33
    11
    20
    13
    9
    14
    12
    30
    56
    62
    73
    54
    10
    9
    looks like it got mixed up with the wait time….

    0
    #193784

    Prabhu V
    Participant

    Hi, I feel that the query needs some more basic information on the problem or situation.

    Will you provide some more information about the problem?
    This will be useful to answer your query.

    0
    #193790

    Ken Feldman
    Participant

    @mpeters We usually do not assist students with their homework assignments but I am feeling uncranky today so I will provide some thoughts. Your first question about whether the measurement system is discriminate can’t really be answered with the data you provided. You would need to do a MSA study to determine whether the measurement system can discern differences. Not sure what your question is asking. As to the second question regarding how to find the source of instability, you would need to do a root cause analysis. Investigate the process using some simple tools such as fishbone diagram or Cause and Effect Matrix or more advanced tools like Hypothesis Testing. The source of the instability is not a function of statistics but process knowledge and what is going on. An out of control point or other signal of special cause variation will at least point you to a time period to investigate.

    0
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