Dimensioning reserve bus fleet using life cycle cost models and condition based/predictive maintenance: a case study

Hugo Raposo; José Torres Farinha; Luís Ferreira; Diego Galar

doi:10.1007/s12469-017-0167-x

Dimensioning reserve bus fleet using life cycle cost models and condition based/predictive maintenance: a case study

Hugo Raposo^*
, José Torres Farinha
, Luís Ferreira
, Diego Galar

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Abstract

The paper demonstrates the dependence of a fleet reserve of buses on the maintenance policy of the whole fleet, in particular, condition-based maintenance using a motor oil degradation analysis. The paper discusses an approach to evaluate the oil degradation and the prediction of the next value for one relevant oil variable. The methodology to evaluate the reserve fleet is based on bus availability, estimated through the mean time between failures and the mean time to repair ratios. Through the use of econometric models, it is possible to determine the most rational size of the reserve fleet.

Original language	English
Pages (from-to)	169-190
Number of pages	22
Journal	Public Transport
Volume	10
Issue number	1
DOIs	https://doi.org/10.1007/s12469-017-0167-x
Publication status	Published - 1 May 2018
Externally published	Yes

Keywords

Econometric models
Economic life
Fleet Reserve
LCC
Maintenance

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10.1007/s12469-017-0167-x

Cite this

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title = "Dimensioning reserve bus fleet using life cycle cost models and condition based/predictive maintenance: a case study",

abstract = "The paper demonstrates the dependence of a fleet reserve of buses on the maintenance policy of the whole fleet, in particular, condition-based maintenance using a motor oil degradation analysis. The paper discusses an approach to evaluate the oil degradation and the prediction of the next value for one relevant oil variable. The methodology to evaluate the reserve fleet is based on bus availability, estimated through the mean time between failures and the mean time to repair ratios. Through the use of econometric models, it is possible to determine the most rational size of the reserve fleet.",

keywords = "Econometric models, Economic life, Fleet Reserve, LCC, Maintenance",

author = "Hugo Raposo and Farinha, \{Jos{\'e} Torres\} and Lu{\'i}s Ferreira and Diego Galar",

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year = "2018",

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doi = "10.1007/s12469-017-0167-x",

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AU - Raposo, Hugo

AU - Farinha, José Torres

AU - Ferreira, Luís

AU - Galar, Diego

PY - 2018/5/1

Y1 - 2018/5/1

N2 - The paper demonstrates the dependence of a fleet reserve of buses on the maintenance policy of the whole fleet, in particular, condition-based maintenance using a motor oil degradation analysis. The paper discusses an approach to evaluate the oil degradation and the prediction of the next value for one relevant oil variable. The methodology to evaluate the reserve fleet is based on bus availability, estimated through the mean time between failures and the mean time to repair ratios. Through the use of econometric models, it is possible to determine the most rational size of the reserve fleet.

AB - The paper demonstrates the dependence of a fleet reserve of buses on the maintenance policy of the whole fleet, in particular, condition-based maintenance using a motor oil degradation analysis. The paper discusses an approach to evaluate the oil degradation and the prediction of the next value for one relevant oil variable. The methodology to evaluate the reserve fleet is based on bus availability, estimated through the mean time between failures and the mean time to repair ratios. Through the use of econometric models, it is possible to determine the most rational size of the reserve fleet.

KW - Econometric models

KW - Economic life

KW - Fleet Reserve

KW - LCC

KW - Maintenance

UR - https://www.scopus.com/pages/publications/85046685338

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JO - Public Transport

JF - Public Transport

IS - 1

ER -

Dimensioning reserve bus fleet using life cycle cost models and condition based/predictive maintenance: a case study

Abstract

Keywords

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