Prediction of the demand of the railway sleepers: A simulation model for replacement strategies

Yun, Won Young and Ferreira. Luis (2003) Prediction of the demand of the railway sleepers: A simulation model for replacement strategies. International Journal of Production Economics, 81-82 589-595. doi:10.1016/S0925-5273(02)00299-2

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Author Yun, Won Young
Ferreira. Luis
Title Prediction of the demand of the railway sleepers: A simulation model for replacement strategies
Journal name International Journal of Production Economics   Check publisher's open access policy
ISSN 0925-5273
Publication date 2003
Sub-type Article (original research)
DOI 10.1016/S0925-5273(02)00299-2
Volume 81-82
Start page 589
End page 595
Total pages 7
Editor R. W. Grubbstroem
Place of publication Amsterdam, The Netherlands
Publisher Elsevier BV
Language eng
Subject 12 Built Environment and Design
1205 Urban and Regional Planning
120506 Transport Planning
Abstract This paper describes the development of a simulation model to assess the inventory requirements of alternative rail sleeper replacement strategies. The main aim of the model is to determine the optimal replacement strategy, given replacement costs and resultant train operating cost benefits. We consider the replacement problem under the following assumptions: The time to failure under constant stress follows a Weibull distribution and the scale parameter is a function of stress level and the three stress levels under normal (all adjacent units are good), medium-stress (one adjacent unit has failed) and high-stress conditions (two adjacent units are failed) are considered. The cumulative exposure model is used to model the failure distributions. The operational cost per unit time depends on the maximum number of consecutive failed units. The replacement cost consists of the fixed cost and variable cost proportional to the number of units replaced. A finite horizon is considered and total expected cost is a criterion for comparing the proposed policies. The model has been tested using rail system data and the results are presented in this paper.
Keyword Cumulative exposure
Weibull distribution
Railway sleepers
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Civil Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 12 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 19 times in Scopus Article | Citations
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Created: Tue, 24 Nov 2009, 15:45:51 EST by Margaret Pereira on behalf of Faculty Of Engineering, Architecture & Info Tech