| Autor: |
Mu˜noz, Jose J., Aslam, Muhammad, Campuzano, Manuel J., Chen, Ranran, Zhang, Shen |
| Předmět: |
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| Zdroj: |
Frontiers in Applied Mathematics & Statistics; 2023, p1-10, 10p |
| Abstrakt: |
When initial sample information falls short of enabling industrial engineers to confidently make decisions about lot quality assessment, repetitive sampling emerges as a solution. In this study, we present an optimized repetitive sampling control chart for X-bar values. Through meticulous analysis, we determined the optimal control chart coefficients. Additionally, we established the control chart parameters for scenarios where the sample size equals the average sample number, encompassing both in-control and out-of-control processes. To underscore the effectiveness of our proposed chart compared to the traditional Shewhart control chart, we provide comprehensive tables across various sample sizes. Bymeticulously examining these tables alongside the corresponding control charts, the chart's efficacy in relation to the Shewhart alternative becomes evident. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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