mailto:uumlib@uum.edu.my 24x7 Service; AnyTime; AnyWhere

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

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

[thumbnail of Basari_A._S._H..pdf]
Preview
PDF
Download (441kB) | Preview
Official URL: http://jict.uum.edu.my

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Maintenance problem recognition, Snapshot model
Subjects: T Technology > TS Manufactures
Divisions: UNSPECIFIED
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 01 Sep 2010 01:22
Last Modified: 30 May 2016 08:46
URI: https://repo.uum.edu.my/id/eprint/1007

Actions (login required)

View Item View Item