Enhanced 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...

Full description

Saved in:
Bibliographic Details
Main Authors: Basari, A.S.H., Herman, N.S., Asmai, S.A.
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2008
Subjects:
Online Access:http://repo.uum.edu.my/548/1/Basari%2CA.S.H..pdf
http://repo.uum.edu.my/548/
http://jict.uum.edu.my
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uum.repo.548
record_format eprints
spelling my.uum.repo.5482017-03-12T08:00:07Z http://repo.uum.edu.my/548/ Enhanced 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 Press 2008 Article PeerReviewed application/pdf en http://repo.uum.edu.my/548/1/Basari%2CA.S.H..pdf Basari, A.S.H. and Herman, N.S. and Asmai, S.A. (2008) Enhanced maintenance problem recognition techniques and its application to palm oil mills. Journal of Information and Communication Technology, 7. pp. 73-87. ISSN 2180-3862 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.
Enhanced 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 Enhanced maintenance problem recognition techniques and its application to palm oil mills
title_short Enhanced maintenance problem recognition techniques and its application to palm oil mills
title_full Enhanced maintenance problem recognition techniques and its application to palm oil mills
title_fullStr Enhanced maintenance problem recognition techniques and its application to palm oil mills
title_full_unstemmed Enhanced maintenance problem recognition techniques and its application to palm oil mills
title_sort enhanced maintenance problem recognition techniques and its application to palm oil mills
publisher Universiti Utara Malaysia Press
publishDate 2008
url http://repo.uum.edu.my/548/1/Basari%2CA.S.H..pdf
http://repo.uum.edu.my/548/
http://jict.uum.edu.my
_version_ 1644277819024343040
score 13.159267