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Information Journal Paper

Title

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

Pages

  53-59

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-ІІ 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.

Cites

References

Cite

APA: Copy

KERAMATPOUR, MEHDI, AKHAVAN NIAKI, SEYED TAGHI, & AMIRI, AMIRHOSSEIN. (2014). PHASE-II MONITORING OF AR (1) AUTO CORRELATED POLYNOMIAL PROFILES. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 8(1 (14)), 53-59. SID. https://sid.ir/paper/631074/en

Vancouver: Copy

KERAMATPOUR MEHDI, AKHAVAN NIAKI SEYED TAGHI, AMIRI AMIRHOSSEIN. PHASE-II MONITORING OF AR (1) AUTO CORRELATED POLYNOMIAL PROFILES. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2014;8(1 (14)):53-59. Available from: https://sid.ir/paper/631074/en

IEEE: Copy

MEHDI KERAMATPOUR, SEYED TAGHI AKHAVAN NIAKI, and AMIRHOSSEIN AMIRI, “PHASE-II MONITORING OF AR (1) AUTO CORRELATED POLYNOMIAL PROFILES,” JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 8, no. 1 (14), pp. 53–59, 2014, [Online]. Available: https://sid.ir/paper/631074/en

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