A novel adaptive CUSUM system for efficient process mean monitoring: An application in piston ring manufacturing process

Abbas, Zameer; Abbas, Tahir; Nazir, Hafiz Zafar; Riaz, Muhammad

doi:10.1016/j.aej.2024.06.101

Alexandria Engineering Journal

2024

DOI: 10.1016/j.aej.2024.06.101

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A novel adaptive CUSUM system for efficient process mean monitoring: An application in piston ring manufacturing process

Zameer Abbas,

Tahir Abbas,

Hafiz Zafar Nazir

et al.

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2024

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Nonparametric Hampel Score‐Function‐Based Adaptive EWMA Charts for Monitoring Location of Manufacturing Industrial Process

Abbas,

Nazir,

Fang

et al. 2024

Quality & Reliability Eng

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Control charts are applied to monitor changes in the process parameter(s). In the manufacturing industry, shifts in the process parameter(s) are generally unknown so the conventional monitoring techniques only perform well for the predefined shifts. To tackle the unknown range of shifts in the process parameter(s), adaptive charting techniques are preferred. The Hampel score‐function‐based adaptive exponentially weighted moving average ( chart has been recently investigated under the assumption of the normality of the process. However, in industrial processes, there is a lack of knowledge about the process distribution; in such cases, nonparametric charts are the better choice for practitioners. This study proposes nonparametric Hampel function‐based adaptive exponentially weighted moving average sign (NPHAEWMA‐SN) and Wilcoxon signed‐rank (NPHAEWMA‐SR) charts as alternatives to the chart for monitoring unknown changes in the location of the process. The proposed charts (NPHAEWMA‐SN and NPHAEWMA‐SR) proved robust and efficient alternatives to the counterparts against the symmetrical heavy‐tailed, extreme value, and contaminated normal distributions at certain and over the range of shifts. Three artificial datasets have been taken from different distributions to verify the robustness and detection ability of the proposals. An industrial dataset has also been taken from the piston rings manufacturing industry for the application of the proposals.

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Nonparametric Hampel Score‐Function‐Based Adaptive EWMA Charts for Monitoring Location of Manufacturing Industrial Process

Abbas,

Nazir,

Fang

et al. 2024

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

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A novel adaptive CUSUM system for efficient process mean monitoring: An application in piston ring manufacturing process

Cited by 1 publication

References 38 publications

Nonparametric Hampel Score‐Function‐Based Adaptive EWMA Charts for Monitoring Location of Manufacturing Industrial Process

Nonparametric Hampel Score‐Function‐Based Adaptive EWMA Charts for Monitoring Location of Manufacturing Industrial Process

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