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Predicting Cost Deviation in Reconstruction Projects: Artificial Neural Networks versus Regression
Publisher: American Society of Civil Engineers
Abstract: This paper investigates the challenging environment of reconstruction projects and describes the development of a predictive model of cost deviation in such high-risk projects. Based on a survey of construction professionals, ...
In-House Delivery of Multiple-Small Reconstruction Projects
Publisher: American Society of Civil Engineers
Abstract: As compared with new construction, reconstruction of operational facilities exhibits a higher challenge, particularly when multiple projects are involved. For owner organizations involved in such projects, use of in-house ...
Reconstruction of the Building Infrastructure: Two Performance Prediction Models
Publisher: American Society of Civil Engineers
Abstract: The total value of civil infrastructure (roads, buildings, and underground services) in North America is estimated at $20 trillion. Due to its large size and the need for minimal interruption to services, maintaining the ...
Project Performance Control in Reconstruction Projects
Publisher: American Society of Civil Engineers
Abstract: Cost, schedule, and quality are the main indicators of performance in construction projects. These indicators are highly interrelated and require some balance and trade-off among them to achieve efficient overall control ...
System of Multiple ANNs for Online Planning of Numerous Building Improvements
Publisher: American Society of Civil Engineers
Abstract: The aging infrastructure in North America and worldwide mandates large investments in repair and improvement (R&I) activities. For organizations that own many assets, managing a large number of R&I activities is not a ...