Development Of Output-Based Decision Support Maintenance Model (OBDSMM) For Production Machines

The research presented in this thesis is concerned about maintenance decisions analysis to determine when is the right time to perform maintenance, what is the appropriate type of maintenance action should be carried out and which component is required maintenance. In industry, these series of decis...

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Main Author:	Ahmad, Rosmaini
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TJ1-1570 Mechanical engineering and machinery
Online Access:	http://eprints.usm.my/45667/1/Rosmaini%20Ahmad_HJ.pdf
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id	my-usm-ep.45667
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spelling	my-usm-ep.456672019-10-16T01:13:53Z Development Of Output-Based Decision Support Maintenance Model (OBDSMM) For Production Machines 2012 Ahmad, Rosmaini TJ1-1570 Mechanical engineering and machinery The research presented in this thesis is concerned about maintenance decisions analysis to determine when is the right time to perform maintenance, what is the appropriate type of maintenance action should be carried out and which component is required maintenance. In industry, these series of decisions analysis is essential for minimising the overall maintenance costs and avoiding the unexpected failure, where in most cases it is very expensive. In literature, many maintenance techniques were introduced and proposed towards maintenance decisions making, which all of them can be classified under time-based maintenance (TBM) and condition-based maintenance (CBM) approaches. Literature review reveals that the application of TBM is not practical in real industrial practice compared with CBM. This literature finding can be argued according to the three application criteria; data required and collection, data analysis/modelling and decision process. Although the application of CBM is more realistic in real cases (agreed by many researchers), but there are some missing part of CBM towards maintenance decisions making process. From the literature review study, it is found that most of CBM application reported only focused on the condition monitoring process rather than maintenance decisions making. Another finding is that the monitoring parameter used in most CBM research is towards physical changes signals (e.g. vibration, sound, wear, etc), where it only useful to monitor the condition/health of the targeted component. In fact, in order to make the maintenance decision, the monitoring signal to be used must represent the actual failure process of the component its self. Thus, the right maintenance decisions towards actual failure perspective of the component can be made. 2012 Thesis http://eprints.usm.my/45667/ http://eprints.usm.my/45667/1/Rosmaini%20Ahmad_HJ.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Mekanikal
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TJ1-1570 Mechanical engineering and machinery
spellingShingle	TJ1-1570 Mechanical engineering and machinery Ahmad, Rosmaini Development Of Output-Based Decision Support Maintenance Model (OBDSMM) For Production Machines
description	The research presented in this thesis is concerned about maintenance decisions analysis to determine when is the right time to perform maintenance, what is the appropriate type of maintenance action should be carried out and which component is required maintenance. In industry, these series of decisions analysis is essential for minimising the overall maintenance costs and avoiding the unexpected failure, where in most cases it is very expensive. In literature, many maintenance techniques were introduced and proposed towards maintenance decisions making, which all of them can be classified under time-based maintenance (TBM) and condition-based maintenance (CBM) approaches. Literature review reveals that the application of TBM is not practical in real industrial practice compared with CBM. This literature finding can be argued according to the three application criteria; data required and collection, data analysis/modelling and decision process. Although the application of CBM is more realistic in real cases (agreed by many researchers), but there are some missing part of CBM towards maintenance decisions making process. From the literature review study, it is found that most of CBM application reported only focused on the condition monitoring process rather than maintenance decisions making. Another finding is that the monitoring parameter used in most CBM research is towards physical changes signals (e.g. vibration, sound, wear, etc), where it only useful to monitor the condition/health of the targeted component. In fact, in order to make the maintenance decision, the monitoring signal to be used must represent the actual failure process of the component its self. Thus, the right maintenance decisions towards actual failure perspective of the component can be made.
format	Thesis
qualification_level	Master's degree
author	Ahmad, Rosmaini
author_facet	Ahmad, Rosmaini
author_sort	Ahmad, Rosmaini
title	Development Of Output-Based Decision Support Maintenance Model (OBDSMM) For Production Machines
title_short	Development Of Output-Based Decision Support Maintenance Model (OBDSMM) For Production Machines
title_full	Development Of Output-Based Decision Support Maintenance Model (OBDSMM) For Production Machines
title_fullStr	Development Of Output-Based Decision Support Maintenance Model (OBDSMM) For Production Machines
title_full_unstemmed	Development Of Output-Based Decision Support Maintenance Model (OBDSMM) For Production Machines
title_sort	development of output-based decision support maintenance model (obdsmm) for production machines
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Mekanikal
publishDate	2012
url	http://eprints.usm.my/45667/1/Rosmaini%20Ahmad_HJ.pdf
_version_	1747821543101038592

Development Of Output-Based Decision Support Maintenance Model (OBDSMM) For Production Machines

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