Phase-II Monitoring of AR (1) Autocorrelated Polynomial Profiles

Journal of Optimization in Industrial Engineering

مقاله 5، دوره 7، شماره 14، خرداد 2014، صفحه 53-59   

نوع مقاله: Original Manuscript

نویسندگان

Mehdi Keramatpour¹؛ Seyed Taghi Akhavan Niaki^{* 2}؛ Amirhossein Amiri³

¹Department of Industrial & Mechanical Engineering, Islamic Azad University, Qazvin Branch

²Sharif University of Technology

³Department of Industrial Engineering, Shahed University

چکیده

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 autocorrelated profiles. Then, three methods are employed to monitor polynomial profiles where their performances are compared using the average run length criterion.

کلیدواژه‌ها

Statistical process control؛ Polynomial profiles؛ Phase-ІІ monitoring؛ autocorrelation؛ Average run length