Autonomous maintenance decision model for lathe machine using fuzzy analytical hierarchy process (AHP) method

Deterioration on production machine may lead to high production costs. One of the preventive maintenance strategies to reduce deterioration of machine is Autonomous Maintenance (AM). The aim of autonomous maintenance is to achieve a high degree of cleanliness, excellent lubrication and proper fast...

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Main Author:	Ahmadi Hamdan, Musman
Format:	Thesis
Language:	English
Subjects:	Lathes Lathes > Numerical control Deterioration Autonomous Maintenance (AM) Total Productive Maintenance (TPM)
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61537/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61537/2/Full%20text.pdf
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id	my-unimap-61537
record_format	uketd_dc
spelling	my-unimap-615372019-08-23T09:44:09Z Autonomous maintenance decision model for lathe machine using fuzzy analytical hierarchy process (AHP) method Ahmadi Hamdan, Musman Dr. Rosmaini Ahmad Deterioration on production machine may lead to high production costs. One of the preventive maintenance strategies to reduce deterioration of machine is Autonomous Maintenance (AM). The aim of autonomous maintenance is to achieve a high degree of cleanliness, excellent lubrication and proper fastening on the machine. However, the conventional AM practice, the process of initial cleaning might increase the maintenance cost and the time required. Therefore, to make this process more effective and efficient, this study proposes an AM decision model using fuzzy Analytical Hierarchy Process (AHP) method to identify the critical components and to determine the right AM activities. A case study of a lathe machine is used to validate the model. The data were collected through personnel interview with technicians at machine shop laboratory in UniMAP. In this study, fuzzy AHP is carried out using pairwise comparison data to verify the critical components. Finding of the analysis reveals that there are eight critical components of the lathe machine that have been identified. By having this information, the model does help in minimizing the maintenance costs and time by identifying the right component for maintenance and so to determine the right maintenance activities to be carried out. Thus, this study has provide theoretical and practical inferences about the development of AM decision model. Universiti Malaysia Perlis (UniMAP) 2015 Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61537 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61537/1/Page%201-24.pdf 74101f6e9aadb5834442ed21b1052bf3 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61537/2/Full%20text.pdf a8194febad786c19c2b1a79fbf01474b http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61537/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 Lathes Lathes -- Numerical control Deterioration Autonomous Maintenance (AM) Total Productive Maintenance (TPM) School of Manufacturing Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Dr. Rosmaini Ahmad
topic	Lathes Lathes -- Numerical control Deterioration Autonomous Maintenance (AM) Total Productive Maintenance (TPM)
spellingShingle	Lathes Lathes -- Numerical control Deterioration Autonomous Maintenance (AM) Total Productive Maintenance (TPM) Ahmadi Hamdan, Musman Autonomous maintenance decision model for lathe machine using fuzzy analytical hierarchy process (AHP) method
description	Deterioration on production machine may lead to high production costs. One of the preventive maintenance strategies to reduce deterioration of machine is Autonomous Maintenance (AM). The aim of autonomous maintenance is to achieve a high degree of cleanliness, excellent lubrication and proper fastening on the machine. However, the conventional AM practice, the process of initial cleaning might increase the maintenance cost and the time required. Therefore, to make this process more effective and efficient, this study proposes an AM decision model using fuzzy Analytical Hierarchy Process (AHP) method to identify the critical components and to determine the right AM activities. A case study of a lathe machine is used to validate the model. The data were collected through personnel interview with technicians at machine shop laboratory in UniMAP. In this study, fuzzy AHP is carried out using pairwise comparison data to verify the critical components. Finding of the analysis reveals that there are eight critical components of the lathe machine that have been identified. By having this information, the model does help in minimizing the maintenance costs and time by identifying the right component for maintenance and so to determine the right maintenance activities to be carried out. Thus, this study has provide theoretical and practical inferences about the development of AM decision model.
format	Thesis
author	Ahmadi Hamdan, Musman
author_facet	Ahmadi Hamdan, Musman
author_sort	Ahmadi Hamdan, Musman
title	Autonomous maintenance decision model for lathe machine using fuzzy analytical hierarchy process (AHP) method
title_short	Autonomous maintenance decision model for lathe machine using fuzzy analytical hierarchy process (AHP) method
title_full	Autonomous maintenance decision model for lathe machine using fuzzy analytical hierarchy process (AHP) method
title_fullStr	Autonomous maintenance decision model for lathe machine using fuzzy analytical hierarchy process (AHP) method
title_full_unstemmed	Autonomous maintenance decision model for lathe machine using fuzzy analytical hierarchy process (AHP) method
title_sort	autonomous maintenance decision model for lathe machine using fuzzy analytical hierarchy process (ahp) method
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Manufacturing Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61537/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61537/2/Full%20text.pdf
_version_	1747836843861213184

Autonomous maintenance decision model for lathe machine using fuzzy analytical hierarchy process (AHP) method

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