Effects of non-normality on economic and economic statistical designs of -control charts with multiple assignable causes and Weibull in-control times

被引：7

作者：

Moghadam, M. Bameni ^{[1
]}

Khadem, Y. ^{[1
]}

Fani, S. ^{[1
]}

Pasha, M. A. ^{[1
]}

机构：

[1] Allameh Tabatabai Univ, Dept Stat, Ahmad Ghasir St,Beheshti Ave, Tehran 1513615411, Iran

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2018年 / 47卷 / 07期

关键词：

Multiple assignable causes; Non-normal distributed data; Increasing failure rate; Integrated hazard over sampling interval; Expected cost per unit time; (X)OVER-BAR CONTROL CHARTS; XBAR-CHARTS;

D O I：

10.1080/03610918.2017.1335406

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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.

引用

页码：2055 / 2069

页数：15

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