Journal of Quality Engineering and Management

Optimization of Control Charts with Multi-Stage Sampling Using Genetic Algorithm 

Document Type : Original Article

Authors

Zeynab Latifi 1
Asieh Salesi 2

1 Instructor, Faculty of Engineering, Shohadaye Hoveizeh University of Technology, Susangerd, Iran,  

2 Instructor, Department of Mathematics and Computer Science, Sheikh Bahaei University, Isfahan, Iran,  

Abstract
 Different types of process control methods exist for jointly monitoring of several quality characteristic. Recent studies have shown that multi-stage sampling control charts perform better in detecting shifts in process. Therefore, because of the efficiency of the joint mean and standard deviation charts with multi-stage sampling in detecting shifts in mean and standard deviation of the process, discussion and consideration of these charts is necessary. In this paper, the joint Double Sampling and Triple Sampling mean and standard deviation charts are introduced. The joint Statistical Design of these charts is formulated as an optimization problem and solved using a genetic algorithm. 
 
 

Keywords

Statistical Process Control
Control Charts
Quality Characteristic
Multi-Stage Sampling
Genetic Algorithm 
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Journal of Quality Engineering and Management
Volume 8, Issue 3
Autumn 2018
Pages 214-223

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