A study on demand forecasting in textile industry / Norwadati Najihah Azman
Material type:
TextPublication details: Kuantan, Pahang : UMP, 2014Description: xi, 58 p. : ill. (some col.) ; 30 cm. + 1 CD-ROMISBN: - THE0001505(Local)
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Final Year Report
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UMPLIB GAMBANG | HD30.27 .N67 2014 r Bc. (Browse shelf(Opens below)) | 1 | Not for loan | 0000100743 | ||
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Final Year Report
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UMPLIB GAMBANG | CD 9016 | HD30.27 .N67 2014 r Bc. (Browse shelf(Opens below)) | 1 | Not for loan | 0000100744 |
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