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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Main Author: Nor Asiah, Johan
Format: Undergraduates Project Papers
Language:English
Published: 2008
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/670/
http://umpir.ump.edu.my/id/eprint/670/1/Nor_Asiah_Johan.PDF
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author Nor Asiah, Johan
author_facet Nor Asiah, Johan
author_sort Nor Asiah, Johan
building UMP Institutional Repository
collection Online Access
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.
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institution Universiti Malaysia Pahang
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language English
last_indexed 2025-11-15T01:09:48Z
publishDate 2008
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spelling ump-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.
spellingShingle QC Physics
Nor Asiah, Johan
Formulation of multivariate chart for air mass density
title 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_short Formulation of multivariate chart for air mass density
title_sort formulation of multivariate chart for air mass density
topic QC Physics
url http://umpir.ump.edu.my/id/eprint/670/
http://umpir.ump.edu.my/id/eprint/670/1/Nor_Asiah_Johan.PDF