02081ntm a2200265 a 4500 vtls000091186 KUKTEM 20251117113304.0 150908t2014 da f abm 000 0 eng d THE0001505(Local) 201905271020 asmadi 201711291127 saini 201509081613 asma 201509081612 asma UMP HD30.27 .N67 2014 r Bc. Norwadati Najihah Azman A study on demand forecasting in textile industry / Norwadati Najihah Azman Kuantan, Pahang : UMP, 2014 xi, 58 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Faculty of Industrial Management Project paper (Bachelor of Industrial Technology Management with Honours) -- Universiti Malaysia Pahang - 2014 Bibliography : p. 55-57 Numerous operation decision are based on the proper forecast of future demand. For this reason, textile industry considered forecasting is crucial process for effectively guiding several activities. The objectives of this research are to identify demand forecasting method applied by the company, to analyses the sales data using several forecasting method and to propose the most suitable forecasting method to the company. The forecasting method involves in this study is Time Series Forecasting Method. The forecasting method was analyzed by using forecast error measurement tools includes Mean Absolute Deviation (MAD), Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE) and Tracking Signal to monitor the forecast result of various method. The result of this study showed that the Additive Decomposition (Seasonal) of forecasting method is the most suitable method to apply and proposed to the textile Industry. This method comes out With the accurate result and least forecast errors Business forecasting http://ecollib.ump.edu.my/id/eprint/9649 Access in library only 0 0 0 1 10000 10000 2019-09-04 0 HD30.27 .N67 2014 r Bc. 0000100743 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 9016 | HD30.27 .N67 2014 r Bc. 0000100744 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 6153 6159 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6500*8560*9992