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Enhance maintenance problem recognition techniques and its application to palm oil mills

This paper discusses the application of enhanced maintenance problem recognition techniques. The main contribution of this study is the proposed combined techniques, namely snapshot model, failure mode, effect and criticality analysis (FMECA), Pareto analysis, and decision analysis by using informat...

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Main Authors: Basari, A.S.H., Herman, N.S., Asmai, S.A.
Format: Article
Language:English
Published: Universiti Utara Malaysia 2008
Subjects:
TS Manufactures
Online Access:http://repo.uum.edu.my/1007/1/Basari_A._S._H..pdf
http://repo.uum.edu.my/1007/
http://jict.uum.edu.my
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spelling my.uum.repo.10072016-05-30T08:46:18Z http://repo.uum.edu.my/1007/ Enhance maintenance problem recognition techniques and its application to palm oil mills Basari, A.S.H. Herman, N.S. Asmai, S.A. TS Manufactures This paper discusses the application of enhanced maintenance problem recognition techniques. The main contribution of this study is the proposed combined techniques, namely snapshot model, failure mode, effect and criticality analysis (FMECA), Pareto analysis, and decision analysis by using information technology (IT). The snapshot model is part of the maintenance modelling technique while FMECA, Pareto analysis, and decision analysis are part of maintenance reliability techniques. Each of the techniques and the proposed combined techniques is explained. The case study used for this enhanced technique was the palm oil mills maintenance problem. The result and possible further enhancement is also discussed. Universiti Utara Malaysia 2008 Article PeerReviewed application/pdf en http://repo.uum.edu.my/1007/1/Basari_A._S._H..pdf Basari, A.S.H. and Herman, N.S. and Asmai, S.A. (2008) Enhance maintenance problem recognition techniques and its application to palm oil mills. Journal of ICT, 7. pp. 73-87. ISSN 1675-414X http://jict.uum.edu.my
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic TS Manufactures
spellingShingle TS Manufactures
Basari, A.S.H.
Herman, N.S.
Asmai, S.A.
Enhance maintenance problem recognition techniques and its application to palm oil mills
description This paper discusses the application of enhanced maintenance problem recognition techniques. The main contribution of this study is the proposed combined techniques, namely snapshot model, failure mode, effect and criticality analysis (FMECA), Pareto analysis, and decision analysis by using information technology (IT). The snapshot model is part of the maintenance modelling technique while FMECA, Pareto analysis, and decision analysis are part of maintenance reliability techniques. Each of the techniques and the proposed combined techniques is explained. The case study used for this enhanced technique was the palm oil mills maintenance problem. The result and possible further enhancement is also discussed.
format Article
author Basari, A.S.H.
Herman, N.S.
Asmai, S.A.
author_facet Basari, A.S.H.
Herman, N.S.
Asmai, S.A.
author_sort Basari, A.S.H.
title Enhance maintenance problem recognition techniques and its application to palm oil mills
title_short Enhance maintenance problem recognition techniques and its application to palm oil mills
title_full Enhance maintenance problem recognition techniques and its application to palm oil mills
title_fullStr Enhance maintenance problem recognition techniques and its application to palm oil mills
title_full_unstemmed Enhance maintenance problem recognition techniques and its application to palm oil mills
title_sort enhance maintenance problem recognition techniques and its application to palm oil mills
publisher Universiti Utara Malaysia
publishDate 2008
url http://repo.uum.edu.my/1007/1/Basari_A._S._H..pdf
http://repo.uum.edu.my/1007/
http://jict.uum.edu.my
_version_ 1644277883333509120
score 13.211869

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