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Phase-II Monitoring of AR (1) Auto correlated Polynomial Profiles

Year: 1392
COI: JR_JOIE-7-14_005
Language: EnglishView: 255
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Mehdi Keramatpour - MSc, Department of Industrial & Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Seyed Taghi Akhavan Niaki - Professor, Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran
Amirhossein Amiri - MSc, Department of Industrial Engineering, Shahed University, Tehran, Iran


In some statistical process control applications, quality of a process or product can be characterized by a relationship between a response and one or more independent variables, which is typically referred to a profile. In this paper, polynomial profiles are considered to monitor processes in which there is a first-order autoregressive relation between the error terms in each profile. A remedial measure is first proposed to eliminate the effect of autocorrelation in phase-ІІ monitoring of auto-correlated profiles. Then, three methods are employed to monitor polynomial profiles where their performances are compared using the average run length criterion.


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Keramatpour, Mehdi and Akhavan Niaki, Seyed Taghi and Amiri, Amirhossein,1392,Phase-II Monitoring of AR (1) Auto correlated Polynomial Profiles,

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Paper count: 10,989
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