Bibliographic Details
| Title: |
Effects of non-normality on economic and economic statistical designs of -control charts with multiple assignable causes and Weibull in-control times. |
| Authors: |
Moghadam, M. Bameni, Khadem, Y., Fani, S., Pasha, M. A. |
| Source: |
Communications in Statistics: Simulation & Computation; 2018, Vol. 47 Issue 7, p2055-2069, 15p |
| Subject Terms: |
ECONOMIC statistics, QUALITY control charts, WEIBULL distribution, NUMERICAL analysis, JAVA applets |
| Abstract: |
The common assumption for designing a control chart is that the quality measurements are normally distributed, although this may not be tenable in some industrial systems. This study investigates the effects of non-normal quality data on economic and economic statistical designs of -control charts with multiple assignable causes and Weibull process failure mechanism. Numerical examples assess the performance of the multiplicity-cause model in three cases of Normal, Burr, and Johnson distributions along with the single-cause model under the same quantities of time and cost. The results reveal that the choice of quality characteristic distribution significantly affects optimal design parameters. [ABSTRACT FROM AUTHOR] |
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