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

Bibliographic Details
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
_version_ 1828124007860273152
author Abd Hasan Basari
N.S. Herman
Siti Asmai
author_facet Abd Hasan Basari
N.S. Herman
Siti Asmai
author_sort Abd Hasan Basari
collection DOAJ
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.
first_indexed 2024-04-11T15:00:59Z
format Article
id doaj.art-bd79369b728c41feac406474971de58d
institution Directory Open Access Journal
issn 1675-414X
language English
last_indexed 2024-04-11T15:00:59Z
publishDate 2008-03-01
publisher UUM Press
record_format Article
series Journal of ICT
spelling doaj.art-bd79369b728c41feac406474971de58d2022-12-22T04:16:59ZengUUM 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
spellingShingle Abd Hasan Basari
N.S. Herman
Siti Asmai
ENHANCED MAINTENANCE PROBLEM RECOGNITION TECHNIQUES AND ITS APPLICATION TO PALM OIL MILLS
Journal of ICT
title 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_short 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
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