Integration Of Clustering Concept And Fuzzy Topsis For Maintenance Policy Decision Making Model

Maintenance policy decision making has become a great challenge in view of the fact that decision making process is highly fuzzy and complicated given that it involves multiple subjective evaluation perspectives. Thus, this study aims to develop a decision making model that is capable to determine t...

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Main Author:	Ding , Siew Hong
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TJ1-1570 Mechanical engineering and machinery
Online Access:	http://eprints.usm.my/41153/1/DING_SIEW_HONG_24_Pages.pdf
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id	my-usm-ep.41153
record_format	uketd_dc
spelling	my-usm-ep.411532018-07-25T08:25:57Z Integration Of Clustering Concept And Fuzzy Topsis For Maintenance Policy Decision Making Model 2015 Ding , Siew Hong TJ1-1570 Mechanical engineering and machinery Maintenance policy decision making has become a great challenge in view of the fact that decision making process is highly fuzzy and complicated given that it involves multiple subjective evaluation perspectives. Thus, this study aims to develop a decision making model that is capable to determine the optimal maintenance policy for multiple systems with similar failure mechanisms. Particularly, the development of maintenance policy decision making (MPDM) model is separated into three stages starting from grouping multiple systems into virtual cells according to the similarity of failure mechanisms. Mean while, a set of procedures are proposed in second stage of the MPDM model to obtain required information for analysis purposes in third stage. The Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) will be integrated in the third stage of the MPDM model to provide preference order of the maintenance policies for particular virtual cell. In the end, the maintenance policy with highest ranking will be pointed as the optimal maintenance policy for respective virtual cell. The robustness of the MPDM model had been verified and validated through six case studies in a circuit board manufacturing plant. The results obtained from case studies had proven the robustness of the MPDM model in determining optimal maintenance policy for each virtual cell. Overall, the MPDM model has been proven capable in providing systematic way of maintenance policy decision making for multiple systems. 2015 Thesis http://eprints.usm.my/41153/ http://eprints.usm.my/41153/1/DING_SIEW_HONG_24_Pages.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Mekanik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TJ1-1570 Mechanical engineering and machinery
spellingShingle	TJ1-1570 Mechanical engineering and machinery Ding , Siew Hong Integration Of Clustering Concept And Fuzzy Topsis For Maintenance Policy Decision Making Model
description	Maintenance policy decision making has become a great challenge in view of the fact that decision making process is highly fuzzy and complicated given that it involves multiple subjective evaluation perspectives. Thus, this study aims to develop a decision making model that is capable to determine the optimal maintenance policy for multiple systems with similar failure mechanisms. Particularly, the development of maintenance policy decision making (MPDM) model is separated into three stages starting from grouping multiple systems into virtual cells according to the similarity of failure mechanisms. Mean while, a set of procedures are proposed in second stage of the MPDM model to obtain required information for analysis purposes in third stage. The Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) will be integrated in the third stage of the MPDM model to provide preference order of the maintenance policies for particular virtual cell. In the end, the maintenance policy with highest ranking will be pointed as the optimal maintenance policy for respective virtual cell. The robustness of the MPDM model had been verified and validated through six case studies in a circuit board manufacturing plant. The results obtained from case studies had proven the robustness of the MPDM model in determining optimal maintenance policy for each virtual cell. Overall, the MPDM model has been proven capable in providing systematic way of maintenance policy decision making for multiple systems.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Ding , Siew Hong
author_facet	Ding , Siew Hong
author_sort	Ding , Siew Hong
title	Integration Of Clustering Concept And Fuzzy Topsis For Maintenance Policy Decision Making Model
title_short	Integration Of Clustering Concept And Fuzzy Topsis For Maintenance Policy Decision Making Model
title_full	Integration Of Clustering Concept And Fuzzy Topsis For Maintenance Policy Decision Making Model
title_fullStr	Integration Of Clustering Concept And Fuzzy Topsis For Maintenance Policy Decision Making Model
title_full_unstemmed	Integration Of Clustering Concept And Fuzzy Topsis For Maintenance Policy Decision Making Model
title_sort	integration of clustering concept and fuzzy topsis for maintenance policy decision making model
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Mekanik
publishDate	2015
url	http://eprints.usm.my/41153/1/DING_SIEW_HONG_24_Pages.pdf
_version_	1747820883884376064

Integration Of Clustering Concept And Fuzzy Topsis For Maintenance Policy Decision Making Model

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