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A New Attribute Control Chart Using Multiple Dependent State Repetitive Sampling
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DOI：10.1109/ACCESS.2017.2687523.png)
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Abstract
En 中文
In this paper, a new attribute control chart using multiple-dependent state repetitive sampling is designed. The operational procedure and structure of the proposed control chart is given. The required measures to determine the average run length for in-control and out-of-control processes are given. Tables of ARLs are reported for various control chart parameters. The proposed control chart is more sensitive in detecting a small shift in the process as compared with the existing attribute control charts. The simulation study shows the efficiency of the proposed chart over the existing charts. An example is given for illustration purpose.
Keywords:
Control chart
multiple dependent state repetitive sampling
average run length
binomial distribution
average run length
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