ENHANCED MAINTENANCE PROBLEM RECOGNITION TECHNIQUES AND ITS APPLICATION TO PALM OIL MILLS

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...

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Main Authors: Abd Hasan Basari, N.S. Herman, Siti Asmai
Format: Article
Language:English
Published: UUM Press 2008-03-01
Series:Journal of ICT
Online Access:https://www.scienceopen.com/document?vid=c1749318-ba3b-4ebb-b6ab-6e3faccf0190
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spelling doaj-bd79369b728c41feac406474971de58d2021-08-03T00:25:07ZengUUM PressJournal of ICT1675-414X2008-03-0110.32890/jict.7.2008.8081ENHANCED MAINTENANCE PROBLEM RECOGNITION TECHNIQUES AND ITS APPLICATION TO PALM OIL MILLSAbd Hasan BasariN.S. HermanSiti AsmaiThis 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.  https://www.scienceopen.com/document?vid=c1749318-ba3b-4ebb-b6ab-6e3faccf0190
collection DOAJ
language English
format Article
sources DOAJ
author Abd Hasan Basari
N.S. Herman
Siti Asmai
spellingShingle Abd Hasan Basari
N.S. Herman
Siti Asmai
ENHANCED MAINTENANCE PROBLEM RECOGNITION TECHNIQUES AND ITS APPLICATION TO PALM OIL MILLS
Journal of ICT
author_facet Abd Hasan Basari
N.S. Herman
Siti Asmai
author_sort Abd Hasan Basari
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 UUM Press
series Journal of ICT
issn 1675-414X
publishDate 2008-03-01
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.  
url https://www.scienceopen.com/document?vid=c1749318-ba3b-4ebb-b6ab-6e3faccf0190
work_keys_str_mv AT abdhasanbasari enhancedmaintenanceproblemrecognitiontechniquesanditsapplicationtopalmoilmills
AT nsherman enhancedmaintenanceproblemrecognitiontechniquesanditsapplicationtopalmoilmills
AT sitiasmai enhancedmaintenanceproblemrecognitiontechniquesanditsapplicationtopalmoilmills
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