Paper Information

Journal:   JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)   WINTER 2014 , Volume 8 , Number 1 (14); Page(s) 53 To 59.
 
Paper: 

PHASE-II MONITORING OF AR (1) AUTO CORRELATED POLYNOMIAL PROFILES

 
 
Author(s):  KERAMATPOUR MEHDI, AKHAVAN NIAKI SEYED TAGHI*, AMIRI AMIRHOSSEIN
 
* DEPARTMENT OF INDUSTRIAL ENGINEERING, SHARIF UNIVERSITY OF TECHNOLOGY, TEHRAN, IRAN
 
Abstract: 
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-?? 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.
 
Keyword(s): STATISTICAL PROCESS CONTROL, POLYNOMIAL PROFILES, PHASE-?? MONITORING, AUTOCORRELATION, AVERAGE RUN LENGTH
 
References: 
 
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