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 Samad Hasan Basari, N.S Herman, Siti Azirah Asmai
Format: Article
Language:English
Published: UUM Press 2008-04-01
Series:Journal of ICT
Subjects:
Online Access:https://e-journal.uum.edu.my/index.php/jict/article/view/8081
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author Abd Samad Hasan Basari
N.S Herman
Siti Azirah Asmai
author_facet Abd Samad Hasan Basari
N.S Herman
Siti Azirah Asmai
author_sort Abd Samad 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.  
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spelling doaj.art-9e519a32e2414c2c963db6b482ce59402022-12-22T01:40:12ZengUUM PressJournal of ICT1675-414X2180-38622008-04-017ENHANCED MAINTENANCE PROBLEM RECOGNITION TECHNIQUES AND ITS APPLICATION TO PALM OIL MILLSAbd Samad Hasan Basari0N.S Herman1Siti Azirah Asmai2Faculty of Information and Communication Technology Universiti Teknikal Malaysia MelakaFaculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka Karung Berkunci 1200, 75450 Ayer Keroh, Melaka, MalaysiaFaculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka Karung Berkunci 1200, 75450 Ayer Keroh, Melaka, MalaysiaThis 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://e-journal.uum.edu.my/index.php/jict/article/view/8081Maintenance problem recognitionSnapshot model
spellingShingle Abd Samad Hasan Basari
N.S Herman
Siti Azirah Asmai
ENHANCED MAINTENANCE PROBLEM RECOGNITION TECHNIQUES AND ITS APPLICATION TO PALM OIL MILLS
Journal of ICT
Maintenance problem recognition
Snapshot model
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
topic Maintenance problem recognition
Snapshot model
url https://e-journal.uum.edu.my/index.php/jict/article/view/8081
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