01962nam a2200241 a 4500 vtls000031305 KUKTEM 20251114204451.0 080828t2008 my a f m 000 0 eng|d THE0002063(Local) 201905131623 yusri 201111241017 Fida 201107132225 VLOAD 200908141514 VLOAD 200808281510 ida84 UMP QC880.4.A5 N67 2008 rs Thesis Nor Asiah Johan Formulation of multivariate chart for air mass density / Nor Asiah Johan Kuantan, Pahang : UMP, 2008 41 p. : ill. (some col.) ; 30 cm. + 1 computer disc Project paper (Bachelor of Chemical Engineering) --- Universiti Malaysia Pahang - 2008 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. -Author Air masses Multivariate analysis 0 0 0 1 10000 10000 2019-09-04 0 QC880.4.A5 N67 2008 rs Thesis 0000031361 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 2744 | QC880.4.A5 N67 2008 rs Thesis 0000031362 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 2535 2541 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5200*6500*6501*9992