A new Shewhart control chart for monitoring process mean based on partially ordered judgment subset sampling

被引：26
|
作者：
Haq, Abdul [1 ]
Al-Omari, Amer Ibrahim [2 ]
机构：
[1] Quaid I Azam Univ, Dept Stat, Islamabad 45320, Pakistan
[2] Alal Bayt Univ, Dept Math, Fac Sci, Mafraq 25113, Jordan
来源：
QUALITY & QUANTITY | 2015年 / 49卷 / 03期
关键词：
Partially ordered judgment subset sampling; Simple random sampling; Ranked set sampling; Control chart; Average run length; Monte Carlo simulations;
D O I：
10.1007/s11135-014-0042-7
中图分类号：
C [社会科学总论];
学科分类号：
03 ; 0303 ;
摘要：
In this paper, we propose a new improved Shewhart control chart for monitoring the process mean based on partially ordered judgment subset sampling design. The performance of the suggested control chart is compared with some of the existing control charts based on simple random sampling and ranked set sampling methods. Average, standard deviation and percentiles of the run lengths are used to evaluate the performances of the control charts. It is observed that the proposed control chart is efficient in detecting random shifts in process mean as compared with the traditional quality control charts.
引用
收藏
页码：1185 / 1202
页数：18
相关论文
共 50 条
12345