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Title

Process Capability Analysis in the Presence of Autocorrelation

Year: 1390
COI: JR_JOIE-4-9_002
Language: EnglishView: 273
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Authors

Mohsen Mohamadi - Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Mehdi oumani - School of Applied Sciences and Engineering, Monash University, Gippsland Campus, Churchill, VIC ۳۸۴۲, Australia
Babak Abbasi - School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Australia

Abstract:

The classical method of process capability analysis necessarily assumes that collected data are independent; nonetheless, some processessuch as biological and chemical processes are autocorrelated and violate the independency assumption. Many processes exhibit a certaindegree of correlation and can be treated by autoregressive models among which the autoregressive model of order one (AR (1)) is the mostcommonly used one. In this paper, we discuss the effect of autocorrelation on the process capability analysis when a set of observations areproduced by an autoregressive model of order one. We employ the multivariate regression model to modify the process capabilityestimated from the classical method where AR (1) parameters are utilized as regression explanatory variables. Finally, the performance ofthe method developed in this paper is investigated using a Monte Carlo simulation

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Paper COI Code

This Paper COI Code is JR_JOIE-4-9_002. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/790929/

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Mohamadi, Mohsen and oumani, Mehdi and Abbasi, Babak,1390,Process Capability Analysis in the Presence of Autocorrelation,https://civilica.com/doc/790929

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Type of center: Azad University
Paper count: 10,365
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