Journal of Quality Engineering and Management

Development of cumulative sum control controls and dual rhythm moving moving averages based on generalized linear regression to monitor cascading processes

Document Type : Original Article

Authors

Shervin asadzadeh 1
Ali Torabi 2

1 Faculty member of North Azad University

2 Master Student, Department of Industrial Engineering, Faculty of Engineering, Islamic Azad University, North Tehran Branch, Tehran, Iran

Abstract
Nowadays, the process of producing most products is such that the products are created in different and interdependent stages. . One of the most widely used and specialized control charts used to monitor multi-stage processes is the selection diagrams of deviant agents. These control charts have been further developed and used for high quality characteristics. In this paper, two control diagrams based on generalized linear patterns are proposed to monitor a two-step process with a two-sentence qualitative characteristic in the second step. In the proposed approach for monitoring binomial variables, a cumulative sum control control diagram and a dual-balance moving average control diagram are designed considering the relationship between qualitative characteristics in two stages. The proposed control diagrams are based on the residual values ​​of the deviation. In order to establish the relationship between the qualitative characteristics of the first and second stages, a new interface function has been used in the framework of the generalized linear pattern. The performance of the proposed control diagrams is evaluated using simulation based on the average sequence length criterion. The results show that the ability to detect cumulative summand control charts and the proposed dual rhythmic moving average is far better than the control charts in the literature.

Keywords

Generalized linear patterns
Interface function
Multi-step process
Remaining deviation
Cumulative sum control chart
Dual rhythmic moving average control chart
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Journal of Quality Engineering and Management
Volume 7, Issue 2
Summer 2017
Pages 82-93

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