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Improving Construction Project Schedules before Execution

Published version
Peer-reviewed

Type

Conference Object

Change log

Authors

Fitzsimmons, John 

Abstract

The construction industry has been forever blighted by delay and disruption. To address this problem, this study proposes the Fitzsimmons Method (FM method) to improve the scheduling performance of activities on the Critical Path before the project execution. The proposed FM method integrates Bayesian Networks to estimate the conditional probability of activity delay given its predecessor and Support Vector Machines to estimate the time delay. The FM method was trained on 302 completed infrastructure construction projects and validated on a £40 million completed road construction project. Compared with traditional Monte Carlo Simulation results, the proposed FM method is 52% more accurate in predicting the projects’ time delay. The proposed FM method contributes to leveraging the vast quantities of data available to improve the estimation of time risk on infrastructure and construction projects.

Description

Keywords

Journal Title

Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC)

Conference Name

37th International Symposium on Automation and Robotics in Construction

Journal ISSN

2413-5844

Volume Title

Publisher

International Association for Automation and Robotics in Construction (IAARC)

Rights

All rights reserved
Sponsorship
Innovate UK (104795)