Title :
Profile monitoring for Poisson responses
Author :
Amiri, A. ; Koosha, M. ; Azhdari, A.
Author_Institution :
Dept. of Ind. Eng., Shahed Univ., Tehran, Iran
Abstract :
In some real case problems, the relationship between a response variable and one or more explanatory variables called as profile should be monitored over time instead of the quality characteristic itself. Profile monitoring is used in such instances. Many researches have been done in the area of profile monitoring but in most of them it is assumed that the response variable follows normal distribution. In recent years Yeh et al. (2009) proposed 5 T2 based methods for monitoring logistic profiles in which response variable is binary. In this paper we evaluate two of the best T2 methods for Poisson response profiles monitoring in Phase I.
Keywords :
Poisson distribution; normal distribution; process monitoring; statistical process control; 5 T2 based method; Poisson response; logistic profile; normal distribution; profile monitoring; Control charts; Logistics; Manufacturing; Maximum likelihood estimation; Monitoring; Polynomials; Phase I; Poisson responses; Profile monitoring; Statistical process control; T2 control chart;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0740-7
Electronic_ISBN :
2157-3611
DOI :
10.1109/IEEM.2011.6118163