Shewhart Median Scheme with Estimated Process Parameters Using Median Run Length for Smart Manufacturing

The exclusive reliance on the average run length (ARL) as a control scheme's performance metric has drawn a lot of criticisms in the literature. This is because the form and skewness of the run length distribution changes depending on the amount of the mean shift in any process, making interpretation based only on the ARL potentially inaccurate. Therefore, when the process parameters are estimated (U-Case), we take into account the median run length (MRL) performance metric for the Shewhart median scheme. To demonstrate how to apply the U-Case Shewhart median scheme, we provide an example for smart manufacturing using a dataset related to the forged piston ring manufacturing process.

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Publication Details

Published
2024-12-21
DOI
https://doi.org/10.1109/apace62360.2024.10877298
Citations
1
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.35

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article

Shewhart Median Scheme with Estimated Process Parameters Using Median Run Length for Smart Manufacturing

Zhi Lin Chong, Peh Sang Ng, Wai Chung Yeong, Sin Yin Teh et al.
1 citations
Manufacturing Process and Optimization
0.35
article

Shewhart Median Scheme with Estimated Process Parameters Using Median Run Length for Smart Manufacturing

Zhi Lin Chong, Peh Sang Ng, Wai Chung Yeong, Sin Yin Teh, Wei Lin Teoh
article en
1 citations

Abstract

The exclusive reliance on the average run length (ARL) as a control scheme's performance metric has drawn a lot of criticisms in the literature. This is because the form and skewness of the run length distribution changes depending on the amount of the mean shift in any process, making interpretation based only on the ARL potentially inaccurate. Therefore, when the process parameters are estimated (U-Case), we take into account the median run length (MRL) performance metric for the Shewhart median scheme. To demonstrate how to apply the U-Case Shewhart median scheme, we provide an example for smart manufacturing using a dataset related to the forged piston ring manufacturing process.

Monash University Malaysia (MY), Universiti Sains Malaysia (MY), Heriot-Watt University Malaysia (MY), Universiti Tunku Abdul Rahman (MY)
Universiti Tunku Abdul Rahman
Industry, innovation and infrastructure
Openalex Percentile: Top 31%
Manufacturing Process and Optimization
0.35
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Shewhart Median Scheme with Estimated Process Parameters Using Median Run Length for Smart Manufacturing — Zhi Lin Chong, Peh Sang Ng, et al. · (2024) | TGRS Research Map | TGRS