Loading…
IMPROVING THE RESPONSE TIME FOR THE CORRECTIVE MAINTENANCE OF RAIL INFRASTRUCTURE: A CASE STUDY OF THE WESTERN CAPE PASSENGER RAIL NETWORK
Response time for repairing rail infrastructure failures remains a challenge in the South African rail industry. The 'mean time to return' metric consists of mean time to respond and mean time to repair. This article investigates the mean time to respond for signalling infrastructure at th...
Saved in:
Published in: | South African journal of industrial engineering 2019-05, Vol.30 (1), p.235-247 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 247 |
container_issue | 1 |
container_start_page | 235 |
container_title | South African journal of industrial engineering |
container_volume | 30 |
creator | du Toit, A Jooste, J L Conradie, P D F |
description | Response time for repairing rail infrastructure failures remains a challenge in the South African rail industry. The 'mean time to return' metric consists of mean time to respond and mean time to repair. This article investigates the mean time to respond for signalling infrastructure at the Passenger Rail Agency of South Africa (PRASA) in the Western Cape, and introduces a strategy to reduce downtime. The results show that the time of occurrence, the location, and the nature of incidents, as well as the location of maintenance personnel, influence the time to respond. A model is developed to assist with improved decision-making. |
doi_str_mv | 10.7166/30-1-1909 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_13f4e39db9f74bdbb28564cfbb5e323c</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><scielo_id>S2224_78902019000100017</scielo_id><doaj_id>oai_doaj_org_article_13f4e39db9f74bdbb28564cfbb5e323c</doaj_id><sourcerecordid>2280451120</sourcerecordid><originalsourceid>FETCH-LOGICAL-d344t-cfe7c37c49ed1578654ec674b676e4bee14b2fe61a7bcbe3157d9b45a85f23dd3</originalsourceid><addsrcrecordid>eNpFkc1u2zAMx4VhBRZ0PfQNBOzsTl-W7N0MT0mFJXIgK-12MixZHhKkdWunh75Cn7pyM2AECAIk_z8SJADXGN0IzPl3ihKc4Bzln8CCEMISkeXoM1hghElChPj9BVxN0wFFyynPEFmAN7XZmupO6RW0txIaWW8rXUto1UbCZWU-smVljCytupNwUyhtpS50KWG1hKZQa6j00hS1NbvS7oz8AQtYFhFR293PP3PTjLiXtZVGx8pWwm1R11KvpDnrtbT3lfn1FVz07XEKV__iJdgtpS1vk3W1UmWxTjrK2CnxfRCeCs_y0OFUZDxlwXPBHBc8MBcCZo70geNWOO8CjT1d7ljaZmlPaNfRS6DO3G5oD83TuH9ox9dmaPfNR2IY_zbteNr7Y2gw7VmgeefyPg7onCNZypnvnUsDJdRH1s2ZNfl9OA7NYXgZH-PyTT3fv5nvT1D8CEJ4dhEF386Cp3F4fgnT6b-EkAyxFGOC6DvuB3-g</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2280451120</pqid></control><display><type>article</type><title>IMPROVING THE RESPONSE TIME FOR THE CORRECTIVE MAINTENANCE OF RAIL INFRASTRUCTURE: A CASE STUDY OF THE WESTERN CAPE PASSENGER RAIL NETWORK</title><source>Publicly Available Content Database</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>du Toit, A ; Jooste, J L ; Conradie, P D F</creator><creatorcontrib>du Toit, A ; Jooste, J L ; Conradie, P D F</creatorcontrib><description>Response time for repairing rail infrastructure failures remains a challenge in the South African rail industry. The 'mean time to return' metric consists of mean time to respond and mean time to repair. This article investigates the mean time to respond for signalling infrastructure at the Passenger Rail Agency of South Africa (PRASA) in the Western Cape, and introduces a strategy to reduce downtime. The results show that the time of occurrence, the location, and the nature of incidents, as well as the location of maintenance personnel, influence the time to respond. A model is developed to assist with improved decision-making.</description><identifier>ISSN: 1012-277X</identifier><identifier>ISSN: 2224-7890</identifier><identifier>EISSN: 2224-7890</identifier><identifier>DOI: 10.7166/30-1-1909</identifier><language>eng</language><publisher>Bedfordview: South African Institute for Industrial Engineering</publisher><subject>corrective maintenance ; Decision making ; Downtime ; Emergency communications systems ; Engineering, Industrial ; Failure ; Handbooks ; Infrastructure ; Maintenance ; Maintenance management ; Passenger trains ; Passengers ; Preventive maintenance ; rail ; Rail transportation ; Reliability engineering ; Response time ; Teams ; Traffic congestion ; Trains</subject><ispartof>South African journal of industrial engineering, 2019-05, Vol.30 (1), p.235-247</ispartof><rights>2019. This work is published under https://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>This work is licensed under a Creative Commons Attribution 4.0 International License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2280451120/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2280451120?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,25732,27903,27904,36991,44569,74872</link.rule.ids></links><search><creatorcontrib>du Toit, A</creatorcontrib><creatorcontrib>Jooste, J L</creatorcontrib><creatorcontrib>Conradie, P D F</creatorcontrib><title>IMPROVING THE RESPONSE TIME FOR THE CORRECTIVE MAINTENANCE OF RAIL INFRASTRUCTURE: A CASE STUDY OF THE WESTERN CAPE PASSENGER RAIL NETWORK</title><title>South African journal of industrial engineering</title><addtitle>S. Afr. J. Ind. Eng</addtitle><description>Response time for repairing rail infrastructure failures remains a challenge in the South African rail industry. The 'mean time to return' metric consists of mean time to respond and mean time to repair. This article investigates the mean time to respond for signalling infrastructure at the Passenger Rail Agency of South Africa (PRASA) in the Western Cape, and introduces a strategy to reduce downtime. The results show that the time of occurrence, the location, and the nature of incidents, as well as the location of maintenance personnel, influence the time to respond. A model is developed to assist with improved decision-making.</description><subject>corrective maintenance</subject><subject>Decision making</subject><subject>Downtime</subject><subject>Emergency communications systems</subject><subject>Engineering, Industrial</subject><subject>Failure</subject><subject>Handbooks</subject><subject>Infrastructure</subject><subject>Maintenance</subject><subject>Maintenance management</subject><subject>Passenger trains</subject><subject>Passengers</subject><subject>Preventive maintenance</subject><subject>rail</subject><subject>Rail transportation</subject><subject>Reliability engineering</subject><subject>Response time</subject><subject>Teams</subject><subject>Traffic congestion</subject><subject>Trains</subject><issn>1012-277X</issn><issn>2224-7890</issn><issn>2224-7890</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpFkc1u2zAMx4VhBRZ0PfQNBOzsTl-W7N0MT0mFJXIgK-12MixZHhKkdWunh75Cn7pyM2AECAIk_z8SJADXGN0IzPl3ihKc4Bzln8CCEMISkeXoM1hghElChPj9BVxN0wFFyynPEFmAN7XZmupO6RW0txIaWW8rXUto1UbCZWU-smVljCytupNwUyhtpS50KWG1hKZQa6j00hS1NbvS7oz8AQtYFhFR293PP3PTjLiXtZVGx8pWwm1R11KvpDnrtbT3lfn1FVz07XEKV__iJdgtpS1vk3W1UmWxTjrK2CnxfRCeCs_y0OFUZDxlwXPBHBc8MBcCZo70geNWOO8CjT1d7ljaZmlPaNfRS6DO3G5oD83TuH9ox9dmaPfNR2IY_zbteNr7Y2gw7VmgeefyPg7onCNZypnvnUsDJdRH1s2ZNfl9OA7NYXgZH-PyTT3fv5nvT1D8CEJ4dhEF386Cp3F4fgnT6b-EkAyxFGOC6DvuB3-g</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>du Toit, A</creator><creator>Jooste, J L</creator><creator>Conradie, P D F</creator><general>South African Institute for Industrial Engineering</general><general>The Southern African Institute for Industrial Engineering</general><general>Stellenbosch University</general><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>GPN</scope><scope>DOA</scope></search><sort><creationdate>20190501</creationdate><title>IMPROVING THE RESPONSE TIME FOR THE CORRECTIVE MAINTENANCE OF RAIL INFRASTRUCTURE: A CASE STUDY OF THE WESTERN CAPE PASSENGER RAIL NETWORK</title><author>du Toit, A ; Jooste, J L ; Conradie, P D F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d344t-cfe7c37c49ed1578654ec674b676e4bee14b2fe61a7bcbe3157d9b45a85f23dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>corrective maintenance</topic><topic>Decision making</topic><topic>Downtime</topic><topic>Emergency communications systems</topic><topic>Engineering, Industrial</topic><topic>Failure</topic><topic>Handbooks</topic><topic>Infrastructure</topic><topic>Maintenance</topic><topic>Maintenance management</topic><topic>Passenger trains</topic><topic>Passengers</topic><topic>Preventive maintenance</topic><topic>rail</topic><topic>Rail transportation</topic><topic>Reliability engineering</topic><topic>Response time</topic><topic>Teams</topic><topic>Traffic congestion</topic><topic>Trains</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>du Toit, A</creatorcontrib><creatorcontrib>Jooste, J L</creatorcontrib><creatorcontrib>Conradie, P D F</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>University Readers</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>ProQuest Central Basic</collection><collection>SciELO</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>South African journal of industrial engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>du Toit, A</au><au>Jooste, J L</au><au>Conradie, P D F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>IMPROVING THE RESPONSE TIME FOR THE CORRECTIVE MAINTENANCE OF RAIL INFRASTRUCTURE: A CASE STUDY OF THE WESTERN CAPE PASSENGER RAIL NETWORK</atitle><jtitle>South African journal of industrial engineering</jtitle><addtitle>S. Afr. J. Ind. Eng</addtitle><date>2019-05-01</date><risdate>2019</risdate><volume>30</volume><issue>1</issue><spage>235</spage><epage>247</epage><pages>235-247</pages><issn>1012-277X</issn><issn>2224-7890</issn><eissn>2224-7890</eissn><abstract>Response time for repairing rail infrastructure failures remains a challenge in the South African rail industry. The 'mean time to return' metric consists of mean time to respond and mean time to repair. This article investigates the mean time to respond for signalling infrastructure at the Passenger Rail Agency of South Africa (PRASA) in the Western Cape, and introduces a strategy to reduce downtime. The results show that the time of occurrence, the location, and the nature of incidents, as well as the location of maintenance personnel, influence the time to respond. A model is developed to assist with improved decision-making.</abstract><cop>Bedfordview</cop><pub>South African Institute for Industrial Engineering</pub><doi>10.7166/30-1-1909</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1012-277X |
ispartof | South African journal of industrial engineering, 2019-05, Vol.30 (1), p.235-247 |
issn | 1012-277X 2224-7890 2224-7890 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_13f4e39db9f74bdbb28564cfbb5e323c |
source | Publicly Available Content Database; EZB-FREE-00999 freely available EZB journals |
subjects | corrective maintenance Decision making Downtime Emergency communications systems Engineering, Industrial Failure Handbooks Infrastructure Maintenance Maintenance management Passenger trains Passengers Preventive maintenance rail Rail transportation Reliability engineering Response time Teams Traffic congestion Trains |
title | IMPROVING THE RESPONSE TIME FOR THE CORRECTIVE MAINTENANCE OF RAIL INFRASTRUCTURE: A CASE STUDY OF THE WESTERN CAPE PASSENGER RAIL NETWORK |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T12%3A43%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=IMPROVING%20THE%20RESPONSE%20TIME%20FOR%20THE%20CORRECTIVE%20MAINTENANCE%20OF%20RAIL%20INFRASTRUCTURE:%20A%20CASE%20STUDY%20OF%20THE%20WESTERN%20CAPE%20PASSENGER%20RAIL%20NETWORK&rft.jtitle=South%20African%20journal%20of%20industrial%20engineering&rft.au=du%20Toit,%20A&rft.date=2019-05-01&rft.volume=30&rft.issue=1&rft.spage=235&rft.epage=247&rft.pages=235-247&rft.issn=1012-277X&rft.eissn=2224-7890&rft_id=info:doi/10.7166/30-1-1909&rft_dat=%3Cproquest_doaj_%3E2280451120%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-d344t-cfe7c37c49ed1578654ec674b676e4bee14b2fe61a7bcbe3157d9b45a85f23dd3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2280451120&rft_id=info:pmid/&rft_scielo_id=S2224_78902019000100017&rfr_iscdi=true |