Norwadati Najihah, Azman (2014) A study on demand forecasting in textile industry. Faculty of Industrial Management, Universiti Malaysia Pahang.
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Abstract
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
| Item Type: | Undergraduates Project Papers |
|---|---|
| Additional Information: | Project paper (Bachelor of Industrial Technology Management with Honours) -- Universiti Malaysia Pahang - 2014, SV: EN MOHD GHAZALI BIN MAAROF, NO CD: 9016 |
| Uncontrolled Keywords: | Business forecasting |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor |
| Faculty/Division: | Faculty of Industrial Management |
| Depositing User: | Mr. Syed Mohd Faiz Syed Abdul Aziz |
| Date Deposited: | 09 Oct 2015 07:54 |
| Last Modified: | 14 Mar 2023 03:21 |
| URI: | http://umpir.ump.edu.my/id/eprint/10731 |
| Download Statistic: | View Download Statistics |
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