التفاصيل البيبلوغرافية
| العنوان: |
The Generally Weighted Moving Average Control Chart for Monitoring the Process Median. |
| المؤلفون: |
Sheu, Shey-Huei1 (AUTHOR) shsheu@im.ntust.edu.tu, Yang, Ling2 (AUTHOR) |
| المصدر: |
Quality Engineering. Jul-Sep2006, Vol. 18 Issue 3, p333-344. 12p. 9 Charts, 4 Graphs. |
| مصطلحات موضوعية: |
*STATISTICS, *QUALITY control charts, *SIMULATION methods & models, MEDIAN (Mathematics), OUTLIERS (Statistics) |
| مستخلص: |
The generally weighted moving average median (GWMA-X͂) control chart is employed to monitoring the process sample mean/median. From the statistical point of view. the simulation result reveals that the GWMA-X͂ chart outperforms both the EWMA-X͂ chart and the Shewhart-X͂ chart in detecting small shifts of the process sample mean/median. In detecting the startup shifts, the GWMA-X͂ chart is also more sensitive than the EWMA-FIR-X͂ chart. An example is given to illustrate this study. In general, the X̅ charts are sensitive to outliers, and the X͂ charts are outliers-resistant. In this paper, several X͂ charts and X̅ charts are used for comparison. Although the GWMA-X͂ chart performs very well in outliers-resistance, the GWMA-X̅ chart is the best in fast detecting shifts. Therefore, the average quality cost is considered to be a criterion for choosing a control chart with outliers. The Lorenzen-Vance quality cost model is adopted herein. With various stilts of the process sample mean/median, the average quality costs of control charts are evaluated under some contaminated normal distributions and cost parameters setting. We conclude that, from the economic point of view, the GWMA-X͂ control chart performs best with outliers. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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