Block models for improved earthwork allocation planning in linear infrastructure construction

Burdett, R., Kozan, E., & Kenley, R. (2015) Block models for improved earthwork allocation planning in linear infrastructure construction. Engineering Optimization, 47(3), pp. 347-369.

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Earthwork planning has been considered in this article and a generic block partitioning and modelling approach has been devised to provide strategic plans of various levels of detail. Conceptually this approach is more accurate and comprehensive than others, for instance those that are section based. In response to environmental concerns the metric for decision making was fuel consumption and emissions. Haulage distance and gradient are also included as they are important components of these metrics. Advantageously the fuel consumption metric is generic and captures the physical difficulties of travelling over inclines of different gradients, that is consistent across all hauling vehicles. For validation, the proposed models and techniques have been applied to a real world road project. The numerical investigations have demonstrated that the models can be solved with relatively little CPU time. The proposed block models also result in solutions of superior quality, i.e. they have reduced fuel consumption and cost. Furthermore the plans differ considerably from those based solely upon a distance based metric thus demonstrating a need for industry to reflect upon their current practices.

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2 citations in Scopus
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1 citations in Web of Science®

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ID Code: 65390
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: mass-haul operations, earthwork allocation, fuel consumption metrics, block models
DOI: 10.1080/0305215X.2014.892594
ISSN: 1029-0273
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200) > Operations Research (010206)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 Taylor & Francis
Copyright Statement: This is an Author's Accepted Manuscript of an article published in Engineering Optimization 2014 copyright Taylor & Francis, available online at:
Deposited On: 16 Dec 2013 02:26
Last Modified: 14 Dec 2015 07:04

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