التفاصيل البيبلوغرافية
العنوان: |
Side sensitive group runs t chart and its application in manufacturing. |
المؤلفون: |
Saha, Sajal, Khoo, Michael B. C., Mim, Faijun Nahar, Ng, Theam Foo, Khaw, Khai Wah |
المصدر: |
Communications in Statistics: Simulation & Computation; 2023, Vol. 52 Issue 9, p4036-4051, 16p |
مصطلحات موضوعية: |
QUALITY control charts, MOVING average process, STANDARD deviations |
الشركة/الكيان: |
ASSOCIATION of Research Libraries |
مستخلص: |
A setback of the X ¯ type charts is that they signal out-of-control when the process standard deviation is not stable, i.e., they are not robust against estimation errors or changes in the process standard deviation. Thus, the t type charts were introduced to overcome this setback. In this study, the side sensitive group runs (SSGR) t chart is proposed for monitoring the process mean. The implementation, optimal designs and performance of the proposed SSGR t chart are discussed. The average run length (ARL) and expected ARL (EARL) criteria are used to evaluate and compare the performance of the proposed SSGR t chart with that of the existing synthetic (Syn) t, exponentially weighted moving average (EWMA) t and run sum (RS) t charts. Results show that the SSGR t chart outperforms the Syn t chart for all sizes of mean shifts, while the EWMA t and RS t charts are better for small shifts. A real manufacturing example is used to illustrate the implementation of the proposed SSGR t chart. [ABSTRACT FROM AUTHOR] |
|
Copyright of Communications in Statistics: Simulation & Computation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
قاعدة البيانات: |
Complementary Index |