Control Charts for Non-Normal Distributions
| المصدر: | المجلة العربية للجودة والتميز |
|---|---|
| الناشر: | مركز الوراق للدراسات والأبحاث |
| المؤلف الرئيسي: | Aichouni, M. (Author) |
| مؤلفين آخرين: | Al Ghonamy, A. I. (Co-Author) , Bachioua, L. (Co-Author) |
| المجلد/العدد: | مج1, ع1 |
| محكمة: | نعم |
| الدولة: |
الأردن |
| التاريخ الميلادي: |
2014
|
| الشهر: | مارس |
| الصفحات: | 5 - 16 |
| ISSN: |
2521-9294 |
| رقم MD: | 792968 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| رابط المحتوى: |
عدد مرات التحميل
5
| المستخلص: |
Statistical Process Control charts widely used in industry and services by quality professionals require that the quality characteristic being monitored is normally distributed. If, in contrast, the distribution of this characteristic is not normal, any conclusion drawn from control charts on the stability of the process may be misleading and erroneous. In this paper, an alternative approach has been suggested that is based on the identification of the best distribution that would fit the data. Specifically, the Johnson distribution was used as a model to normalize real field data that showed departure from normality. Real field data from the construction industry was used as a case study to illustrate the proposed analysis. |
|---|---|
| ISSN: |
2521-9294 |
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