A decision-making framework for effective maintenance management using life cycle costing (LCC) in a rolling stock environment

Fourie, Cornelius Jacobus ; Tendayi, Tinashe George (2016)

CITATION: Fourie, C. J. & Tendayi, T. G. 2016. A decision-making framework for effective maintenance management using life cycle costing (LCC) in a rolling stock environment. South African Journal of Industrial Engineering, 27(3):142-152, doi:10.7166/27-4-1526.

The original publication is available at http://sajie.journals.ac.za


ENGLISH Abstract: In this paper, a life cycle costing (LCC) framework for effective maintenance management is investigated and developed for use in a railway rolling stock environment. The framework consists of combining typical mission-critical components together with their failure and maintenance history. All costs related to the operation and maintenance of these components throughout their life cycle are also determined. The next step involves considering different scenarios under which the components can be used in relation to operations, maintenance, and replacements. The decision about which scenario to take is based on the one with the most favourable net present value after life cycle costing is performed over a specified period of time. A typical railway rolling-stock maintenance organisation in South Africa was used to highlight the practical implications of such a framework and how the company could make informed and appropriate decisions. The conclusion of this study is that such a framework is useful, and that it can be used as a basis for estimating LCC across a spectrum of critical assets found in the rolling stock environment.

AFRIKAANSE OPSOMMING: In hierdie artikel is ’n lewenssikluskoste raamwerk ondersoek en ontwikkel om instandhoudingsbestuur in ’n spoorweg rollende materiaal omgewing te verbeter. Die raamwerk bestaan uit ’n kombinasie van tipiese missie-kritiese komponente saam met hulle falings- en instandhoudingsgeskiedenis. Alle koste verbonde aan die bedryf en instandhouding van hierdie komponente gedurende hulle lewenssiklus is ook bepaal. Deur verskillende bedryfscenario’s se lewenssikluskoste te vergelyk in terme van netto huidige waardes, kan ’n besluit oor die beste scenario geneem word. ’n Suid-Afrikaanse gevallestudie is gebruik om die waarde van hierdie raamwerk te illustreer. Resultate toon dat die raamwerk wel bruikbaar is oor ’n wye spektrum van scenario’s.

Please refer to this item in SUNScholar by using the following persistent URL: http://hdl.handle.net/10019.1/99989
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