eprintid: 4385
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/43/85
datestamp: 2023-11-09 16:16:04
lastmod: 2023-11-09 16:16:04
status_changed: 2023-11-09 15:58:19
type: article
metadata_visibility: show
creators_name: Hussin, H.
creators_name: Mokhtar, A.A.
creators_name: Muhammad, M.
title: Identification of critical factors to system performance using availability modeling and simulation analysis
ispublished: pub
note: cited By 1; Conference of 2013 2nd International Conference on Mechanical Design and Power Engineering, ICMDPE 2013 ; Conference Date: 29 November 2013 Through 30 November 2013; Conference Code:102764
abstract: Availability analysis presents a means to understand the impact of existing maintenance system and maintenance resources to the overall system operational availability. The practical method for conducting availability analysis of a plant system at operation phase is illustrated and discussed via a case study of an acid gas removal system of gas processing plant. This study demonstrates that the availability modeling and simulation is effective in assessing the existing and future system configurations and determining possible impacts and critical factors to systems availability. These findings can significantly assist management to make right actions in improving plant system performances. © (2014) Trans Tech Publications, Switzerland.
date: 2014
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893968428&doi=10.4028%2fwww.scientific.net%2fAMM.490-491.1759&partnerID=40&md5=c3ccd082ffe227e185a21ff32b6c4c2a
id_number: 10.4028/www.scientific.net/AMM.490-491.1759
full_text_status: none
publication: Applied Mechanics and Materials
volume: 490-49
place_of_pub: Beijing
pagerange: 1759-1763
refereed: TRUE
isbn: 9783038350019
issn: 16609336
citation:   Hussin, H. and Mokhtar, A.A. and Muhammad, M.  (2014) Identification of critical factors to system performance using availability modeling and simulation analysis.  Applied Mechanics and Materials, 490-49.  pp. 1759-1763.  ISSN 16609336