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Information Journal Paper

Title

PROCESS CAPABILITY ANALYSIS IN THE PRESENCE OF AUTOCORRELATION

Pages

  15-20

Abstract

 The classical method of PROCESS CAPABILITY ANALYSIS necessarily assumes that collected data are independent; nonetheless, some processes such as biological and chemical processes are auto-correlated and violate the independency assumption. Many processes exhibit a certain degree of correlation and can be treated by autoregressive models among which the autoregressive model of order one (AR (1)) is the most commonly used one. In this paper, we discuss the effect of AUTOCORRELATION on the PROCESS CAPABILITY ANALYSIS when a set of observations are produced by an autoregressive model of order one. We employ the multivariate regression model to modify the process capability estimated from the classical method where AR (1) parameters are utilized as regression explanatory variables. Finally, the performance of the method developed in this paper is investigated using a Monte Carlo simulation.

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  • Cite

    APA: Copy

    MOHAMADI, MOHSEN, FOUMANI, MEHDI, & ABBASI, BABAK. (2011). PROCESS CAPABILITY ANALYSIS IN THE PRESENCE OF AUTOCORRELATION. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 5(3 (9)), 15-20. SID. https://sid.ir/paper/623523/en

    Vancouver: Copy

    MOHAMADI MOHSEN, FOUMANI MEHDI, ABBASI BABAK. PROCESS CAPABILITY ANALYSIS IN THE PRESENCE OF AUTOCORRELATION. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2011;5(3 (9)):15-20. Available from: https://sid.ir/paper/623523/en

    IEEE: Copy

    MOHSEN MOHAMADI, MEHDI FOUMANI, and BABAK ABBASI, “PROCESS CAPABILITY ANALYSIS IN THE PRESENCE OF AUTOCORRELATION,” JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 5, no. 3 (9), pp. 15–20, 2011, [Online]. Available: https://sid.ir/paper/623523/en

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