Railway Renewal and Maintenance Cost Estimating

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dc.contributor.advisor Roy, Rajkumar
dc.contributor.advisor Shehab, Essam
dc.contributor.author Ling, Daniel
dc.date.accessioned 2008-12-15T14:59:51Z
dc.date.available 2008-12-15T14:59:51Z
dc.date.issued 2005
dc.identifier.uri http://hdl.handle.net/1826/3059
dc.description.abstract The aim of this thesis is to present a structured methodology which estimates Railway Infrastructure renewal and maintenance costs when there is a lack of quantitative cost data at the early stages of the project life cycle. Furthermore, this thesis presents renewal and maintenance infrastructure cost estimating issues and investigates current Railway renewal and maintenance cost estimating practice using an industrial case study approach. A flexible design using a case study strategy is described as the most appropriate approach to the successful completion of this study. Industrial case studies using workshops and interview techniques are the primary sources of data whereas literature is used as the secondary sources of data. Following the identification of Railway renewal and maintenance cost estimating issues, a further review of literature leads to the development of a hypothesis. In order to investigate the hypothesis a structured cost estimating methodology is developed which comprises four main stages: creating a project structure that composes the goal, project criteria and alternatives; collecting the necessary data in the form of pairwise comparisons made by a domain expert; producing alternative weights using a geometric mean; and finally employing an algorithmic method using the produced alternative weights and the known cost of one alternative per criteria. The model was implemented within a prototype software tool. This provided a means to validate the proposed model using three industrial case studies. These results provide evidence that the application of a pairwise comparisons based methodology to Railway renewal and maintenance cost estimating problems can provide beneficial. The results indicated that twelve of the fifteen estimates produced by the model were within the expected accuracy and therefore on most occasions prove the hypothesis to be true. en_UK
dc.language.iso en en_UK
dc.publisher Cranfield University en_UK
dc.rights ©Cranfield University 2005. All rights reserved. No part of this document may be reproduced without the written permission of the copyright owner. en_UK
dc.title Railway Renewal and Maintenance Cost Estimating en_UK
dc.type Thesis or dissertation en_UK
dc.type.qualificationlevel Doctoral en_UK
dc.type.qualificationname PhD en_UK


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