A study on demand forecasting in textile industry
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...
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| Format: | Undergraduates Project Papers |
| Language: | English |
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2014
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| Online Access: | http://umpir.ump.edu.my/id/eprint/10731/1/23.A%20study%20on%20demand%20forecasting%20in%20textile%20industry.pdf |
| _version_ | 1796990850983526400 |
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| author | Norwadati Najihah, Azman |
| author_facet | Norwadati Najihah, Azman |
| author_sort | Norwadati Najihah, Azman |
| collection | UMP |
| description | 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 |
| first_indexed | 2024-03-06T11:57:39Z |
| format | Undergraduates Project Papers |
| id | UMPir10731 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:57:39Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | UMPir107312023-03-14T03:21:07Z http://umpir.ump.edu.my/id/eprint/10731/ A study on demand forecasting in textile industry Norwadati Najihah, Azman HD Industries. Land use. Labor 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 2014-12 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/10731/1/23.A%20study%20on%20demand%20forecasting%20in%20textile%20industry.pdf Norwadati Najihah, Azman (2014) A study on demand forecasting in textile industry. Faculty of Industrial Management, Universiti Malaysia Pahang. |
| spellingShingle | HD Industries. Land use. Labor Norwadati Najihah, Azman A study on demand forecasting in textile industry |
| title | A study on demand forecasting in textile industry |
| title_full | A study on demand forecasting in textile industry |
| title_fullStr | A study on demand forecasting in textile industry |
| title_full_unstemmed | A study on demand forecasting in textile industry |
| title_short | A study on demand forecasting in textile industry |
| title_sort | study on demand forecasting in textile industry |
| topic | HD Industries. Land use. Labor |
| url | http://umpir.ump.edu.my/id/eprint/10731/1/23.A%20study%20on%20demand%20forecasting%20in%20textile%20industry.pdf |
| work_keys_str_mv | AT norwadatinajihahazman astudyondemandforecastingintextileindustry AT norwadatinajihahazman studyondemandforecastingintextileindustry |