A neural network approach for machine breakdown repair time

Research on neural network applications have been carried out very extensively in recent days. The current trends in manufacturing sectors for solving their business operational problems have been very difficult and subjective. Many organizations have used various methods to solve machine breakdo...

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Bibliographic Details
Main Author:	Chanthuru Thevendram
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TS Manufactures
Online Access:	http://eprints.utm.my/id/eprint/48144/1/ChanthuruThevendramMFKM2013.pdf
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id	my-utm-ep.48144
record_format	uketd_dc
spelling	my-utm-ep.481442017-08-21T01:11:31Z A neural network approach for machine breakdown repair time 2013 Chanthuru Thevendram, TS Manufactures Research on neural network applications have been carried out very extensively in recent days. The current trends in manufacturing sectors for solving their business operational problems have been very difficult and subjective. Many organizations have used various methods to solve machine breakdown's repair time, either reducing the time taken to repair or eliminate the particular occurrence. The traditional way for solving these machine breakdown issues was to predict the machine breakdown occurrence through preventive maintenance. Hence, in the present study, a neural network method was proposed to optimize the mean repair time for machine breakdown with regression models were evaluated from the trained neurons. The neurons were represented by the samples of repair time of previous years' record of a single machine. The results shows that the set of samples of repair time have critically influenced the optimized mean repair time for the machine. Various methodologies were used by comparing several grouped machine breakdown phenomena which showed more accurate regressions. The use of neural network, in the end of the study, gives significant changes in predicting machine breakdown repair time for the future years. 2013 Thesis http://eprints.utm.my/id/eprint/48144/ http://eprints.utm.my/id/eprint/48144/1/ChanthuruThevendramMFKM2013.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:79976?queryType=vitalDismax&query=A+neural+network+approach+for+machine+breakdown+repair+time&public=true masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures Chanthuru Thevendram, A neural network approach for machine breakdown repair time
description	Research on neural network applications have been carried out very extensively in recent days. The current trends in manufacturing sectors for solving their business operational problems have been very difficult and subjective. Many organizations have used various methods to solve machine breakdown's repair time, either reducing the time taken to repair or eliminate the particular occurrence. The traditional way for solving these machine breakdown issues was to predict the machine breakdown occurrence through preventive maintenance. Hence, in the present study, a neural network method was proposed to optimize the mean repair time for machine breakdown with regression models were evaluated from the trained neurons. The neurons were represented by the samples of repair time of previous years' record of a single machine. The results shows that the set of samples of repair time have critically influenced the optimized mean repair time for the machine. Various methodologies were used by comparing several grouped machine breakdown phenomena which showed more accurate regressions. The use of neural network, in the end of the study, gives significant changes in predicting machine breakdown repair time for the future years.
format	Thesis
qualification_level	Master's degree
author	Chanthuru Thevendram,
author_facet	Chanthuru Thevendram,
author_sort	Chanthuru Thevendram,
title	A neural network approach for machine breakdown repair time
title_short	A neural network approach for machine breakdown repair time
title_full	A neural network approach for machine breakdown repair time
title_fullStr	A neural network approach for machine breakdown repair time
title_full_unstemmed	A neural network approach for machine breakdown repair time
title_sort	neural network approach for machine breakdown repair time
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2013
url	http://eprints.utm.my/id/eprint/48144/1/ChanthuruThevendramMFKM2013.pdf
_version_	1747817318469074944

A neural network approach for machine breakdown repair time

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