Life cycle cost analysis of the ventilation system in Stockholm’s road tunnels
Journal of Quality in Maintenance Engineering
ISSN: 1355-2511
Article publication date: 13 August 2018
Abstract
Purpose
The purpose of this paper is to develop a practical economic replacement decision model to identify the economic lifetime of the ventilation system used by Trafikverket in its Stockholm tunnels.
Design/methodology/approach
The proposed data-driven optimisation model considers operating and maintenance costs, purchase price and system resale value for a ventilation system consisting of 121 fans. The study identified data quality problems in Trafikverket’s MAXIMO database.
Findings
It is found that the absolute economic replacement time (ERT) of the ventilation system is 108 months but for a range of 100–120 months, the total cost remains almost constant. Sensitivity and regression analysis showed that the operating cost has the largest impact on the ERT.
Originality/value
The results are promising; the company has the possibility of significantly reducing the LCC of the ventilation system by optimising its lifetime. In addition, the proposed model can be used for other systems with repairable components, making it applicable, useful and implementable within Trafikverket more generally.
Keywords
Acknowledgements
The research was carried out in 2016 at the Division of Operation, Maintenance and Acoustics, Luleå University of Technology, Sweden. The research programme was sponsored by the Swedish Transport Administration (Trafikverket). The support of Trafikverket during the research is deeply appreciated, especially the help of Thomas Rolén, and Kerstin Abrahamsson. The author would like to express the author’s sincere gratitude to Peter Söderholm for his invaluable guidance, suggestions and support. Karim, Hawzheen, Stefan Jonsson and Lars Schillström are also gratefully acknowledged.
Citation
Al-Chalabi, H.S. (2018), "Life cycle cost analysis of the ventilation system in Stockholm’s road tunnels", Journal of Quality in Maintenance Engineering, Vol. 24 No. 3, pp. 358-375. https://doi.org/10.1108/JQME-05-2017-0032
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited