Hybrid palm oil mills maintenance system

This paper proposes a technique that enhances snapshot model for cause of failure and decision analysis in order to easily assist maintenance engineers during identification and definition of the actual maintenance problem. The technique is a hybrid of failure mode, effect and criticality analysis,...

Full description

Saved in:
Bibliographic Details
Main Authors: Hasan Basari, Abd Samad, Herman, Nanna Suryana, Desa, Mohammad Ishak
Format: Article
Language:English
Published: Penerbit Universiti Teknikal Malaysia Melaka 2009
Online Access:http://eprints.utem.edu.my/id/eprint/243/1/Hybrid_System2-JMET.pdf
http://eprints.utem.edu.my/id/eprint/243/
https://journal.utem.edu.my/index.php/jmet/article/view/331/213
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utem.eprints.243
record_format eprints
spelling my.utem.eprints.2432023-06-12T11:30:33Z http://eprints.utem.edu.my/id/eprint/243/ Hybrid palm oil mills maintenance system Hasan Basari, Abd Samad Herman, Nanna Suryana Desa, Mohammad Ishak This paper proposes a technique that enhances snapshot model for cause of failure and decision analysis in order to easily assist maintenance engineers during identification and definition of the actual maintenance problem. The technique is a hybrid of failure mode, effect and criticality analysis, information technology and decision analysis into the snapshot model. A tool that automates the hybrid of snapshot modelling for cause of failure and decision analysis is also developed. This tool aims to ensure maintenance engineers can conduct snapshot modelling with little or without the help of operation research experts to facilitate in the cause of failure and decision analysis process. Penerbit Universiti Teknikal Malaysia Melaka 2009 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/243/1/Hybrid_System2-JMET.pdf Hasan Basari, Abd Samad and Herman, Nanna Suryana and Desa, Mohammad Ishak (2009) Hybrid palm oil mills maintenance system. Journal of Mechanical Engineering and Technology (JMET), 1 (1). pp. 53-72. ISSN 2180-1053 https://journal.utem.edu.my/index.php/jmet/article/view/331/213 10.2022/jmet.v1i1.331.g213
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description This paper proposes a technique that enhances snapshot model for cause of failure and decision analysis in order to easily assist maintenance engineers during identification and definition of the actual maintenance problem. The technique is a hybrid of failure mode, effect and criticality analysis, information technology and decision analysis into the snapshot model. A tool that automates the hybrid of snapshot modelling for cause of failure and decision analysis is also developed. This tool aims to ensure maintenance engineers can conduct snapshot modelling with little or without the help of operation research experts to facilitate in the cause of failure and decision analysis process.
format Article
author Hasan Basari, Abd Samad
Herman, Nanna Suryana
Desa, Mohammad Ishak
spellingShingle Hasan Basari, Abd Samad
Herman, Nanna Suryana
Desa, Mohammad Ishak
Hybrid palm oil mills maintenance system
author_facet Hasan Basari, Abd Samad
Herman, Nanna Suryana
Desa, Mohammad Ishak
author_sort Hasan Basari, Abd Samad
title Hybrid palm oil mills maintenance system
title_short Hybrid palm oil mills maintenance system
title_full Hybrid palm oil mills maintenance system
title_fullStr Hybrid palm oil mills maintenance system
title_full_unstemmed Hybrid palm oil mills maintenance system
title_sort hybrid palm oil mills maintenance system
publisher Penerbit Universiti Teknikal Malaysia Melaka
publishDate 2009
url http://eprints.utem.edu.my/id/eprint/243/1/Hybrid_System2-JMET.pdf
http://eprints.utem.edu.my/id/eprint/243/
https://journal.utem.edu.my/index.php/jmet/article/view/331/213
_version_ 1769847385274449920
score 13.209306