Volume 23, Issue 4 (IJIEPR 2012)                   IJIEPR 2012, 23(4): 291-299 | Back to browse issues page

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1- Science and Research Branch, Islamic Azad University , a.saghaei@srbiau.ac.ir
2- Parsian Quality and Productivity Research Center
3- Iran University of Science and Technology
4- Islamic Azad University-South Tehran Branch
Abstract:   (24827 Views)
In many industrial and non-industrial applications the quality of a process or product is characterized by a relationship between a response variable and one or more explanatory variables. This relationship is referred to as profile. In the past decade, profile monitoring has been extensively studied under the normal response variable, but it has paid a little attention to the profile with the non-normal response variable. In this paper, the focus is especially on the binary response followed by the bernoulli distribution due to its application in many fields of science and engineering. Some methods have been suggested to monitor such profiles in phase I, the modeling phase however, no method has been proposed for monitoring them in phase II, the detecting phase. In this paper, two methods are proposed for phase II logistic profile monitoring. The first method is a combination of two exponentially weighted moving average (EWMA) control charts for mean and variance monitoring of the residuals defined in logistic regression models and the second method is a multivariate T2 chart to monitor model parameters. The simulation study is done to investigate the performance of the methods.
Full-Text [PDF 499 kb]   (3174 Downloads)    
Type of Study: Research | Subject: Quality Control
Received: 2012/08/12 | Accepted: 2014/07/21 | Published: 2014/07/21

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