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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Main Author: Norwadati Najihah, Azman
Format: Undergraduates Project Papers
Language:English
Published: 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/10731/
http://umpir.ump.edu.my/id/eprint/10731/1/23.A%20study%20on%20demand%20forecasting%20in%20textile%20industry.pdf
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author Norwadati Najihah, Azman
author_facet Norwadati Najihah, Azman
author_sort Norwadati Najihah, Azman
building UMP Institutional Repository
collection Online Access
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
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spelling ump-107312023-03-14T03:21:07Z 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/
http://umpir.ump.edu.my/id/eprint/10731/1/23.A%20study%20on%20demand%20forecasting%20in%20textile%20industry.pdf