TY - GEN
T1 - Development of CUSUM Scheme for Monitoring Multiple Attributes
AU - Haridy, Salah
AU - Alkhatib, Fathy
AU - Shamsuzzaman, Mohammad
AU - Al Owad, Ali
AU - Maged, Ahmed
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Average Number of Defectives (AND)
KW - Control chart
KW - Multi-attribute charts
KW - Statistical Process Control
UR - https://www.scopus.com/pages/publications/85128388463
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85128388463&origin=recordpage
U2 - 10.1109/ASET53988.2022.9734999
DO - 10.1109/ASET53988.2022.9734999
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781665418027
T3 - Advances in Science and Engineering Technology International Conferences, ASET
BT - 2022 Advances in Science and Engineering Technology International Conferences (ASET)
PB - IEEE
T2 - 2022 Advances in Science and Engineering Technology International Conferences (ASET 2022)
Y2 - 21 February 2022 through 24 February 2022
ER -