Determination of manufacturing throughput for mounting machine by using artificial neural network / Nornita Abdul Rahman

This thesis presents the application of artificial neural network to determine the manufacturing throughput for a semi-conductor machine. Two types of neural networks have been used, i.e. Back propagation and radial basis function network. Both models developed have three layers i.e. input layer, hi...

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Main Author:	Abdul Rahman, Nornita
Format:	Thesis
Language:	English
Published:	1999
Online Access:	https://ir.uitm.edu.my/id/eprint/103488/1/103488.pdf
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id	my-uitm-ir.103488
record_format	uketd_dc
spelling	my-uitm-ir.1034882024-09-24T23:38:07Z Determination of manufacturing throughput for mounting machine by using artificial neural network / Nornita Abdul Rahman 1999 Abdul Rahman, Nornita This thesis presents the application of artificial neural network to determine the manufacturing throughput for a semi-conductor machine. Two types of neural networks have been used, i.e. Back propagation and radial basis function network. Both models developed have three layers i.e. input layer, hidden-layer and output layer. To determine the manufacturing throughput, the system behavior was studied based on the machine downtime report. For both networks, the same sets of data have been used in training and testing process as the data were taken from a monthly downtime report of production from a semiconductor company for a year. Tests were carried out and the results were compared on the basis of learning rate, momentum and number of hidden nodes. From these results, it was shown that ANN can be used for determining manufacturing throughput. The radial Basis Function network was more accurate compared to the back-propagation network. 1999 Thesis https://ir.uitm.edu.my/id/eprint/103488/ https://ir.uitm.edu.my/id/eprint/103488/1/103488.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Hamzah, Noraliza
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Hamzah, Noraliza
description	This thesis presents the application of artificial neural network to determine the manufacturing throughput for a semi-conductor machine. Two types of neural networks have been used, i.e. Back propagation and radial basis function network. Both models developed have three layers i.e. input layer, hidden-layer and output layer. To determine the manufacturing throughput, the system behavior was studied based on the machine downtime report. For both networks, the same sets of data have been used in training and testing process as the data were taken from a monthly downtime report of production from a semiconductor company for a year. Tests were carried out and the results were compared on the basis of learning rate, momentum and number of hidden nodes. From these results, it was shown that ANN can be used for determining manufacturing throughput. The radial Basis Function network was more accurate compared to the back-propagation network.
format	Thesis
qualification_level	Bachelor degree
author	Abdul Rahman, Nornita
spellingShingle	Abdul Rahman, Nornita Determination of manufacturing throughput for mounting machine by using artificial neural network / Nornita Abdul Rahman
author_facet	Abdul Rahman, Nornita
author_sort	Abdul Rahman, Nornita
title	Determination of manufacturing throughput for mounting machine by using artificial neural network / Nornita Abdul Rahman
title_short	Determination of manufacturing throughput for mounting machine by using artificial neural network / Nornita Abdul Rahman
title_full	Determination of manufacturing throughput for mounting machine by using artificial neural network / Nornita Abdul Rahman
title_fullStr	Determination of manufacturing throughput for mounting machine by using artificial neural network / Nornita Abdul Rahman
title_full_unstemmed	Determination of manufacturing throughput for mounting machine by using artificial neural network / Nornita Abdul Rahman
title_sort	determination of manufacturing throughput for mounting machine by using artificial neural network / nornita abdul rahman
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	1999
url	https://ir.uitm.edu.my/id/eprint/103488/1/103488.pdf
_version_	1811769257619357696

Determination of manufacturing throughput for mounting machine by using artificial neural network / Nornita Abdul Rahman

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