A hybrid methodology to estimate construction material quantities at an early project phase

García de Soto, Borja, Adey, Bryan T. and Fernando, Dilum (2016) A hybrid methodology to estimate construction material quantities at an early project phase. International Journal of Construction Management, 1-32. doi:10.1080/15623599.2016.1176727


Author García de Soto, Borja
Adey, Bryan T.
Fernando, Dilum
Title A hybrid methodology to estimate construction material quantities at an early project phase
Journal name International Journal of Construction Management   Check publisher's open access policy
ISSN 1562-3599
2331-2327
Publication date 2016-06-27
Year available 2016
Sub-type Article (original research)
DOI 10.1080/15623599.2016.1176727
Open Access Status Not Open Access
Start page 1
End page 32
Total pages 32
Place of publication Abingdon, Oxfordshire, United Kingdom
Publisher Taylor & Francis
Collection year 2017
Language eng
Formatted abstract
Preliminary project cost estimates are the first serious estimates made on a project. They play an important role during the decision-making process, and are the benchmark with which future estimates are expected to agree. This paper concentrates on the estimation of construction material quantities (CMQs) and presents a methodology to accurately estimate them during an early project phase. We make use of existing data and utilize regression analysis, neural networks and case-based reasoning to provide accurate results. It encompasses data collection, model development and evaluation, and the integration of different techniques. The use of the methodology is demonstrated by estimating CMQs of relevant structures. The accuracy of the methodology is investigated and compared with three state-of-practice approaches. The results obtained show a significant improvement over the state of the practice, and would improve the accuracy of preliminary project costs estimates. Through partial automation, it would likely reduce the time required to make estimates.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
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Created: Fri, 01 Jul 2016, 13:53:59 EST by Dilum Fernando on behalf of School of Civil Engineering