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Development of CUSUM Scheme for Monitoring Multiple Attributes
Most industrial applications like healthcare and service sectors include several independent attribute characteristics. These characteristics require effective monitoring tools and techniques. This paper proposes a Cumulative Sum (CUSUM) scheme for monitoring multiple attribute characteristics, titled MCUSUM chart. The proposed scheme is compared with the multi-attribute np (Mnp) chart. The developed MCUSUM chart overcomes the common weaknesses of the traditional CUSUM charts for detecting large shifts. As a result, the MCUSUM scheme substantially outperforms the Mnp scheme, in terms of the Average Number of Defectives (AND), for detecting a wide range of process shifts. The results reveal that the MCUSUM chart outdoes the Mnp chart by 268%, on average, under ten cases with different design specifications.
Development of CUSUM Scheme for Monitoring Multiple Attributes
Most industrial applications like healthcare and service sectors include several independent attribute characteristics. These characteristics require effective monitoring tools and techniques. This paper proposes a Cumulative Sum (CUSUM) scheme for monitoring multiple attribute characteristics, titled MCUSUM chart. The proposed scheme is compared with the multi-attribute np (Mnp) chart. The developed MCUSUM chart overcomes the common weaknesses of the traditional CUSUM charts for detecting large shifts. As a result, the MCUSUM scheme substantially outperforms the Mnp scheme, in terms of the Average Number of Defectives (AND), for detecting a wide range of process shifts. The results reveal that the MCUSUM chart outdoes the Mnp chart by 268%, on average, under ten cases with different design specifications.
Development of CUSUM Scheme for Monitoring Multiple Attributes
Haridy, Salah (author) / Alkhatib, Fathy (author) / Shamsuzzaman, Mohammad (author) / Al Owad, Ali (author) / Maged, Ahmed (author)
2022-02-21
1255055 byte
Conference paper
Electronic Resource
English
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