>
Fa   |   Ar   |   En
   Monitoring Multinomial Log it Profiles Via Log-Linear Models  
   
نویسنده Noorossana R. ,Saghaei A. ,Izadbakhsh H. ,Aghababaei O.
منبع international journal of industrial engineering and production research - 2013 - دوره : 24 - شماره : 2 - صفحه:137 -142
چکیده    In certain statistical process control applications, quality of a process or product can be characterized by a function commonly referred to as profile. some of the potential applications of profile monitoring are cases where quality characteristic of interest is modelled using binary, multinomial or ordinal variables. in this paper, profiles with multinomial response are studied. for this purpose, multinomial log it regression (mlr) is considered as the basis. then, the mlr is converted to poisson glm with log link. two methods including multivariate exponentially weighted moving average (mewma) statistics, and likelihood ratio test (lrt) statistics are proposed to monitor mlr profiles in phase ii. performances of these three methods are evaluated by average run length criterion (arl). a case study from alloy fasteners manufacturing process is used to illustrate the implementation of the proposed approach. results indicate satisfactory performance for the proposed method.
کلیدواژه Loglinear Models ,Average Run Length (ARL) ,Multivariate Exponentially Weighted Moving Average (MEWMA) ,Multinomial Logit Regression ,Profile Monitoring
آدرس iran university of science and technology, Department of Industrial Engineering, ایران, islamic azad university, Industrial Engineering Department, ایران, iran university of science and technology, Industrial Engineering Department, ایران, shahid beheshti university, Faculty of Mathematical Sciences, Statistics Department, ایران
 
     
   
Authors
  
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved