Abstract
The presence of outliers in a sample significantly affects the estimated values, which is why the highly efficient Median Absolute Deviation (MAD) method has been used due to of its great robust against the existence of outliers values in the data. In this article, we construct a mean quality control charts using the (MAD) robust. A comparison between the mean control chart based on robust and the mean control chart based on standard deviation to reach a better method, this is through a practical application to the real data (the pressure force on the block). The findings revealed that mean control chart based on (MAD) was more effective than the classical mean control chart based on standard deviation in identifying anomalies from the average production process.
Highlights
Construction X-Bar Chart for Quality Control Using of Robust (MAD) Estimator in Under Consideration Is Outlier with An
A comparison between the mean control chart based on robust and the mean control chart based on standard deviation to reach a better method, this is through a practical application to the real data
The findings revealed that mean control chart based on (MAD) was more effective than the classical mean control chart based on standard deviation in identifying anomalies from the average production process
Summary
تكوين لوحة معدل للسيطرة النوعية باستخدام مقدر ( )MADالحصين في حالة وجود قيم شاذة مع التطبيق الخاصية النوعية على اللوحة ،فإذا وقعت بعض من النقاط المرسومة خارج حدود السيطرة ننتقل الى لوحة معدل استنادا الى الأنحراف المعياري []5 تستخدم للسيطرة على معدل النوعية ،يمثل خط الهدف لهذه اللوحة المعدل العام لجميع معدلات العينات
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