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: | |
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | 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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| Summary: | 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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