A study of demand forecasting in electronic manufacturing industry using time-series approach

The study of the evaluation on the forecasting techniques applied in the manufacturing industry is known as very crucial part in the operation decision making for all electronic manufacturing service industry. The objectives of this research are to evaluate the demand forecasting method used by the...

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Main Author: Tan, Yi Hua
Format: Undergraduates Project Papers
Language:English
Published: 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/8745/
http://umpir.ump.edu.my/id/eprint/8745/
http://umpir.ump.edu.my/id/eprint/8745/1/cd8433.pdf
id ump-8745
recordtype eprints
spelling ump-87452015-10-27T02:37:07Z http://umpir.ump.edu.my/id/eprint/8745/ A study of demand forecasting in electronic manufacturing industry using time-series approach Tan, Yi Hua HD Industries. Land use. Labor The study of the evaluation on the forecasting techniques applied in the manufacturing industry is known as very crucial part in the operation decision making for all electronic manufacturing service industry. The objectives of this research are to evaluate the demand forecasting method used by the manufacturing company, analyses the sale data of the company using several forecasting method and lastly propose the most suitable forecasting method to the manufacturing company. The forecasting method used in the analysis involved Time Series Forecasting Method. The forecasting method was assess by using forecast error measurement tool such as Mean Absolute Deviation (MAD), Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE) and Tracking Signal. These forecast error analyses were used to monitor the forecast result of various methods. The result of this study showed that trend projection was chosen as the most suitable forecasting method as it produces the most accurate result and least forecast error. Demand forecasting plays a critical role in every business especially in manufacturing industry. Most of the operations decisions in manufacturing industry are based on some kind of forecast for future demand. As a result, manufacturing company pay highly attention towards demand forecasting process and this study has devoted attention to this particular issue. 2014 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8745/1/cd8433.pdf Tan, Yi Hua (2014) A study of demand forecasting in electronic manufacturing industry using time-series approach. Faculty of Engineering Technology, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:83312&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
Tan, Yi Hua
A study of demand forecasting in electronic manufacturing industry using time-series approach
description The study of the evaluation on the forecasting techniques applied in the manufacturing industry is known as very crucial part in the operation decision making for all electronic manufacturing service industry. The objectives of this research are to evaluate the demand forecasting method used by the manufacturing company, analyses the sale data of the company using several forecasting method and lastly propose the most suitable forecasting method to the manufacturing company. The forecasting method used in the analysis involved Time Series Forecasting Method. The forecasting method was assess by using forecast error measurement tool such as Mean Absolute Deviation (MAD), Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE) and Tracking Signal. These forecast error analyses were used to monitor the forecast result of various methods. The result of this study showed that trend projection was chosen as the most suitable forecasting method as it produces the most accurate result and least forecast error. Demand forecasting plays a critical role in every business especially in manufacturing industry. Most of the operations decisions in manufacturing industry are based on some kind of forecast for future demand. As a result, manufacturing company pay highly attention towards demand forecasting process and this study has devoted attention to this particular issue.
format Undergraduates Project Papers
author Tan, Yi Hua
author_facet Tan, Yi Hua
author_sort Tan, Yi Hua
title A study of demand forecasting in electronic manufacturing industry using time-series approach
title_short A study of demand forecasting in electronic manufacturing industry using time-series approach
title_full A study of demand forecasting in electronic manufacturing industry using time-series approach
title_fullStr A study of demand forecasting in electronic manufacturing industry using time-series approach
title_full_unstemmed A study of demand forecasting in electronic manufacturing industry using time-series approach
title_sort study of demand forecasting in electronic manufacturing industry using time-series approach
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/8745/
http://umpir.ump.edu.my/id/eprint/8745/
http://umpir.ump.edu.my/id/eprint/8745/1/cd8433.pdf
first_indexed 2023-09-18T22:06:39Z
last_indexed 2023-09-18T22:06:39Z
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