eprintid: 7346
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/73/46
datestamp: 2023-11-09 16:19:09
lastmod: 2023-11-09 16:19:09
status_changed: 2023-11-09 16:09:08
type: conference_item
metadata_visibility: show
creators_name: Burhani, N.R.A.
creators_name: Muhammad, M.
creators_name: Mokhtar, A.A.
creators_name: Ismail, M.C.
title: Application of logistic regression in resolving influential risk factors subject to corrosion under insulation
ispublished: pub
note: cited By 5; Conference of 6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016 ; Conference Date: 8 March 2016 Through 10 March 2016; Conference Code:135628
abstract: Corrosion under insulation (CUI) is an increasingly important issue for piping especially for oil and gas industries due to its unexpected catastrophic disaster and automatic impact on the environmental problem. To ensure this CUI problem did not spark sudden surprise in plants, ambiguous factors that contribute to the deterioration of CUI should be recognized and taken care seriously. Thus, this research will unearth the most influential factors for the CUI deterioration using logistic regression model. Results show most influential factors are insulation type followed by availability of elbow in pipe design, other than service temperature. This finding can be a guideline for inspection planning purpose and priority in the maintenance schedule. © IEOM Society International. © IEOM Society International.
date: 2016
publisher: IEOM Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018386419&partnerID=40&md5=3890bf7520849a655682d3e814eef5b2
full_text_status: none
publication: Proceedings of the International Conference on Industrial Engineering and Operations Management
volume: 8-10 M
pagerange: 1711-1716
refereed: TRUE
isbn: 9780985549749
issn: 21698767
citation:   Burhani, N.R.A. and Muhammad, M. and Mokhtar, A.A. and Ismail, M.C.  (2016) Application of logistic regression in resolving influential risk factors subject to corrosion under insulation.  In: UNSPECIFIED.