Formulation of multivariate chart for air mass density

As the need for control arises from the fact that there are many disturbances occur in a process manufacturing the product, statistical control chart have been developed to overcome the problems .Traditionally in process industries, univariate chart was used to monitor the disturbance .However ,this...

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主要作者: Nor Asiah, Johan
格式: Undergraduates Project Papers
語言:English
出版: 2008
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spelling my.ump.umpir.6702021-06-08T07:37:16Z http://umpir.ump.edu.my/id/eprint/670/ Formulation of multivariate chart for air mass density Nor Asiah, Johan QC Physics As the need for control arises from the fact that there are many disturbances occur in a process manufacturing the product, statistical control chart have been developed to overcome the problems .Traditionally in process industries, univariate chart was used to monitor the disturbance .However ,this chart is not convenient enough towards data collection on the hundred variables. The purpose of this study is to formulate the multivariate chart for air mass density using Multivariate Exponentially Weighted Moving Average (MEWMA) chart and to investigate the effect of the temperature and the pressure on the control chart. The data collections were collected from the AFPT plant, while the simulations and the chart formulation will be performed using the MATLAB 7.1 Software. The MEWMA were successfully developed and the result shows that the pressure, temperature and density of the air are in-control in the process. The MEWMA can be implemented to reduce the cost and number of variables ignored during the process period. 2008-05 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/670/1/Nor_Asiah_Johan.PDF Nor Asiah, Johan (2008) Formulation of multivariate chart for air mass density. Faculty of Chemical & Natural Resources Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QC Physics
spellingShingle QC Physics
Nor Asiah, Johan
Formulation of multivariate chart for air mass density
description As the need for control arises from the fact that there are many disturbances occur in a process manufacturing the product, statistical control chart have been developed to overcome the problems .Traditionally in process industries, univariate chart was used to monitor the disturbance .However ,this chart is not convenient enough towards data collection on the hundred variables. The purpose of this study is to formulate the multivariate chart for air mass density using Multivariate Exponentially Weighted Moving Average (MEWMA) chart and to investigate the effect of the temperature and the pressure on the control chart. The data collections were collected from the AFPT plant, while the simulations and the chart formulation will be performed using the MATLAB 7.1 Software. The MEWMA were successfully developed and the result shows that the pressure, temperature and density of the air are in-control in the process. The MEWMA can be implemented to reduce the cost and number of variables ignored during the process period.
format Undergraduates Project Papers
author Nor Asiah, Johan
author_facet Nor Asiah, Johan
author_sort Nor Asiah, Johan
title Formulation of multivariate chart for air mass density
title_short Formulation of multivariate chart for air mass density
title_full Formulation of multivariate chart for air mass density
title_fullStr Formulation of multivariate chart for air mass density
title_full_unstemmed Formulation of multivariate chart for air mass density
title_sort formulation of multivariate chart for air mass density
publishDate 2008
url http://umpir.ump.edu.my/id/eprint/670/1/Nor_Asiah_Johan.PDF
http://umpir.ump.edu.my/id/eprint/670/
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score 13.251813