 Predicting the construction duration of building projects using artificial neural networksAhmed A. Gab-Allah, Ahmed H. Ibrahim and Omar A. Hagras International Journal of Applied Management Science, 2015, vol. 7, issue 2, 123-141 Abstract: The accurate prediction of the duration of a construction project represents a critical factor for the feasibility study of this project. Employers are in an urgent need for reliable information about the construction duration in this early stage of the project. Such information can materially help project managers create a cash and material flow plan in a pre-set time. This paper aims to develop an artificial neural network (ANN) model for predicting the expected construction duration of building projects in its early stage, where no detailed planning is available. The MATLAB program was used as a suitable environment for developing the proposed model. The required field data was collected from 130 building projects in Egypt, which fall within the appropriate sample size. Testing the validity of the model clearly showed that it has a good prediction capability with a maximum error of 14%. Keywords: project management; project prediction; project duration; duration prediction; construction projects; building projects; artificial neural networks; ANNs; MATLAB; cash flow planning; material flow planning; Egypt. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:injams:v:7:y:2015:i:2:p:123-141 Access Statistics for this article More articles in International Journal of Applied Management Science from Inderscience Enterprises Ltd |
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