Improving the response time for the corrective maintenance of rail infrastructure : a case study of the Western Cape passenger rail network

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dc.contributor.authorDu Toit, Anerosaen_ZA
dc.contributor.authorJooste, Johannes Lodewyken_ZA
dc.contributor.authorConradie, Pieter Daniel Francoisen_ZA
dc.date.accessioned2021-11-12T14:50:39Z
dc.date.available2021-11-12T14:50:39Z
dc.date.issued2019
dc.descriptionCITATION: Du Toit, A., Jooste, J., & Conradie, P. 2019. Improving the response time for the corrective maintenance of rail infrastructure : a case study of the Western Cape passenger rail network. The South African Journal of Industrial Engineering, 30(1):235-247. doi:10.7166/30-1-1909
dc.descriptionThe original publication is available at http://sajie.journals.ac.za/pub/index
dc.description.abstractENGLISH 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.en_ZA
dc.description.abstractAFRIKAANSE OPSOMMING: Reageertyd vir die herstel van onvoorsiene falings bly ’n realiteit in die Suid-Afrikaanse spoorwegindustrie. Die ‘gemiddelde tyd tot terugkeer’ meting bestaan uit die gemiddelde tyd om te reageer en die gemiddelde tyd om te herstel. Hierdie artikel ondersoek die gemiddelde tyd om te reageer vir sinjaalinfrastruktuur by die Passasierspooragentskap van Suid-Afrika (PRASA) in die Wes-Kaap, en stel ’n reaksiestrategie voor om staantyd te verminder. Die resultate toon dat die tyd van voorkoms, die ligging en die aard van voorvalle, asook die ligging van instandhoudingspersoneel, die tyd om te reageer beïnvloed. ’n Model is ontwikkel om te help met verbeterde besluitneming.af_ZA
dc.description.urihttp://sajie.journals.ac.za/pub/article/view/1909
dc.description.versionPublisher’s version
dc.format.extent13 pagesen_ZA
dc.identifier.citationDu Toit, A., Jooste, J., & Conradie, P. 2019. Improving the response time for the corrective maintenance of rail infrastructure : a case study of the Western Cape passenger rail network. The South African Journal of Industrial Engineering, 30(1):235-247. doi:10.7166/30-1-1909
dc.identifier.issn2224-7890 (online)
dc.identifier.issn1012-277X (print)
dc.identifier.otherdoi:10.7166/30-1-1909
dc.identifier.urihttp://hdl.handle.net/10019.1/123443
dc.language.isoen_ZAen_ZA
dc.publisherSouthern African Institute for Industrial Engineeringen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectRailway networksen_ZA
dc.subjectMaintenanceen_ZA
dc.subjectRailroads -- Maintenance and repairen_ZA
dc.subjectService life (Engineering)en_ZA
dc.titleImproving the response time for the corrective maintenance of rail infrastructure : a case study of the Western Cape passenger rail networken_ZA
dc.typeArticleen_ZA
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