An adaptive run sum scheme for process ratio

Tracking the ratio of two normal variables (RTNV) is crucial in ensuring the quality regarding some manufacturing processes. In this study, the run sum and variable sampling interval procedures are combined to develop a more effective scheme for controlling the RTNV A comparison with the existing basic ratio and run sum ratio schemes, as per average time to signal criterion, shows that the new chart substantially surpasses its two existing counterparts. An example of application using factual data is given to showcase the operation of the new scheme in practice.

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Publication Details

Journal
Journal of Statistics and Management Systems
Published
2025-01-01
DOI
https://doi.org/10.47974/jsms-1377
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
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article

An adaptive run sum scheme for process ratio

Sani Salihu Abubakar, Michael B. C. Khoo, Faijun Nahar Mim, Wai Chung Yeong et al.
Journal of Statistics and Management Systems
Scheduling and Optimization Algorithms
article

An adaptive run sum scheme for process ratio

Sani Salihu Abubakar, Michael B. C. Khoo, Faijun Nahar Mim, Wai Chung Yeong, Adamu Abubakar Umar, Ibrahim Abdullahi
article en

Abstract

Tracking the ratio of two normal variables (RTNV) is crucial in ensuring the quality regarding some manufacturing processes. In this study, the run sum and variable sampling interval procedures are combined to develop a more effective scheme for controlling the RTNV A comparison with the existing basic ratio and run sum ratio schemes, as per average time to signal criterion, shows that the new chart substantially surpasses its two existing counterparts. An example of application using factual data is given to showcase the operation of the new scheme in practice.

Journal of Statistics and Management SystemsVol. 28(3)
Openalex Percentile: Top 91%
Scheduling and Optimization Algorithms
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An adaptive run sum scheme for process ratio — Sani Salihu Abubakar, Michael B. C. Khoo, et al. · Journal of Statistics and Management Systems (2025) | TGRS Research Map | TGRS