eprintid: 2137
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/21/37
datestamp: 2023-11-09 15:50:19
lastmod: 2023-11-09 15:50:19
status_changed: 2023-11-09 15:42:05
type: article
metadata_visibility: show
creators_name: Hussin, H.
creators_name: Hashim, F.M.
title: Modeling of maintenance downtime distribution using expert opinion
ispublished: pub
note: cited By 4
abstract: Appropriate modeling of maintenance downtime distribution requires sufficient and good quality data. However, in the absence of those conditions of data, an alternative method using expert opinion inputs is usually employed. Literature on the applications of expert opinion in modeling maintenance downtime is found fairly limited. This study aims to fill in that gap and suggest a practical way of incorporating expert opinion in the modeling. A case study of an offshore gas compression train system is presented here to describe the approach used in modeling of preventive maintenance downtime using expert opinion. Using right set of questionnaires and a fractile technique, downtime distributions are successfully elicited from expert. The comparison analysis shows that the downtime distribution derived from expert opinion is tighter than the one estimated solely based on raw plant maintenance data, indicating that the expert opinion approach is a good alternative for estimating the downtime measures of maintenance tasks. © 2011 Asian Network for Scientific Information.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79955557436&doi=10.3923%2fjas.2011.1573.1579&partnerID=40&md5=127926167bddfa95a48d7e675814165c
id_number: 10.3923/jas.2011.1573.1579
full_text_status: none
publication: Journal of Applied Sciences
volume: 11
number: 9
pagerange: 1573-1579
refereed: TRUE
issn: 18125654
citation:   Hussin, H. and Hashim, F.M.  (2011) Modeling of maintenance downtime distribution using expert opinion.  Journal of Applied Sciences, 11 (9).  pp. 1573-1579.  ISSN 18125654