• DocumentCode
    2857396
  • Title

    Profile monitoring for Poisson responses

  • Author

    Amiri, A. ; Koosha, M. ; Azhdari, A.

  • Author_Institution
    Dept. of Ind. Eng., Shahed Univ., Tehran, Iran
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    1481
  • Lastpage
    1484
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6118163
  • Filename
    6118163