Journal
INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT
Volume 30, Issue 4, Pages 470-478Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ijproman.2011.09.002
Keywords
Project success; Early planning; Classification model; ANNs ensemble; Support vector machines
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It is commonly perceived that how well the planning is performed during the early stage will have significant impact on final project outcome. This paper outlines the development of artificial neural networks ensemble and support vector machines classification models to predict project cost and schedule success, using status of early planning as the model inputs. Through industry survey, early planning and project performance information from a total of 92 building projects is collected. The results show that early planning status can be effectively used to predict project success and the proposed artificial intelligence models produce satisfactory prediction results. (C) 2011 Elsevier Ltd. APM and IPMA. All rights reserved.
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