Using Geostatistics to Estimate the Variability of Autocorrelated Processes

Using Geostatistics to Estimate the Variability of Autocorrelated Processes

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Statistical quality control is used to detect changes in the parameters values of the process which usually are estimated under the assumption of independence of the sampling units with respect to the quality characteristic. However, this is questionable for many processes. The main objective of thi...

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Main Authors: Sueli Aparecida Mingoti, Otaviano Francisco Neves
Format: Article
Language:English
Published: Associação Brasileira de Engenharia de Produção (ABEPRO) 2010-02-01
Series:Brazilian Journal of Operations & Production Management
Online Access:https://bjopm.emnuvens.com.br/bjopm/article/view/41
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spelling doaj-41cde0d5b0c740ecbbef95940742974f2020-11-24T21:35:54ZengAssociação Brasileira de Engenharia de Produção (ABEPRO)Brazilian Journal of Operations & Production Management2237-89602010-02-0121Using Geostatistics to Estimate the Variability of Autocorrelated ProcessesSueli Aparecida Mingoti0Otaviano Francisco Neves1UFMGUFMGStatistical quality control is used to detect changes in the parameters values of the process which usually are estimated under the assumption of independence of the sampling units with respect to the quality characteristic. However, this is questionable for many processes. The main objective of this paper is to present estimators for the variance of autocorrelated processes by using Geostatistics methodology. With this new procedure the usual Shewhart’s control charts still can be used to monitor the quality of the process. A Monte Carlo simulation study showed that the proposed estimators have good performance.https://bjopm.emnuvens.com.br/bjopm/article/view/41
collection DOAJ
language English
format Article
sources DOAJ
author Sueli Aparecida Mingoti
Otaviano Francisco Neves
spellingShingle Sueli Aparecida Mingoti
Otaviano Francisco Neves
Using Geostatistics to Estimate the Variability of Autocorrelated Processes
Brazilian Journal of Operations & Production Management
author_facet Sueli Aparecida Mingoti
Otaviano Francisco Neves
author_sort Sueli Aparecida Mingoti
title Using Geostatistics to Estimate the Variability of Autocorrelated Processes
title_short Using Geostatistics to Estimate the Variability of Autocorrelated Processes
title_full Using Geostatistics to Estimate the Variability of Autocorrelated Processes
title_fullStr Using Geostatistics to Estimate the Variability of Autocorrelated Processes
title_full_unstemmed Using Geostatistics to Estimate the Variability of Autocorrelated Processes
title_sort using geostatistics to estimate the variability of autocorrelated processes
publisher Associação Brasileira de Engenharia de Produção (ABEPRO)
series Brazilian Journal of Operations & Production Management
issn 2237-8960
publishDate 2010-02-01
description Statistical quality control is used to detect changes in the parameters values of the process which usually are estimated under the assumption of independence of the sampling units with respect to the quality characteristic. However, this is questionable for many processes. The main objective of this paper is to present estimators for the variance of autocorrelated processes by using Geostatistics methodology. With this new procedure the usual Shewhart’s control charts still can be used to monitor the quality of the process. A Monte Carlo simulation study showed that the proposed estimators have good performance.
url https://bjopm.emnuvens.com.br/bjopm/article/view/41
work_keys_str_mv AT sueliaparecidamingoti usinggeostatisticstoestimatethevariabilityofautocorrelatedprocesses
AT otavianofrancisconeves usinggeostatisticstoestimatethevariabilityofautocorrelatedprocesses
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