Block models for improved earthwork allocation planning in linear infrastructure construction


Autoria(s): Burdett, R.; Kozan, E.; Kenley, R.
Data(s)

2015

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/65390/

Publicador

Taylor & Francis

Relação

http://eprints.qut.edu.au/65390/5/65390b.pdf

DOI:10.1080/0305215X.2014.892594

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.

Direitos

Copyright 2014 Taylor & Francis

This is an Author's Accepted Manuscript of an article published in Engineering Optimization 2014 copyright Taylor & Francis, available online at: http://www.tandfonline.com/10.1080/0305215X.2014.892594

Fonte

Faculty of Science and Technology; School of Mathematical Sciences; Science & Engineering Faculty

Palavras-Chave #010206 Operations Research #mass-haul operations #earthwork allocation #fuel consumption metrics #block models
Tipo

Journal Article