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:	HD Industries. Land use. Labor
Online Access:	http://umpir.ump.edu.my/id/eprint/10731/ http://umpir.ump.edu.my/id/eprint/10731/ http://umpir.ump.edu.my/id/eprint/10731/1/FIST%20-%20najihah%20%28CD9016%29%2019.pdf

id	ump-10731
recordtype	eprints
spelling	ump-107312016-04-18T05:56:06Z 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 application/pdf en http://umpir.ump.edu.my/id/eprint/10731/1/FIST%20-%20najihah%20%28CD9016%29%2019.pdf Norwadati Najihah, Azman (2014) A study on demand forecasting in textile industry. Faculty of Industrial Management, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:91186&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	HD Industries. Land use. Labor
spellingShingle	HD Industries. Land use. Labor Norwadati Najihah, Azman A study on demand forecasting in textile industry
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
format	Undergraduates Project Papers
author	Norwadati Najihah, Azman
author_facet	Norwadati Najihah, Azman
author_sort	Norwadati Najihah, Azman
title	A study on demand forecasting in textile industry
title_short	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_sort	study on demand forecasting in textile industry
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/10731/ http://umpir.ump.edu.my/id/eprint/10731/ http://umpir.ump.edu.my/id/eprint/10731/1/FIST%20-%20najihah%20%28CD9016%29%2019.pdf
first_indexed	2023-09-18T22:10:40Z
last_indexed	2023-09-18T22:10:40Z
_version_	1777415005818322944

A study on demand forecasting in textile industry

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