Prediction of Rework on a Construction Site Utilizing ANN Integrated into a BIM Environment

Author's Department

Construction Engineering Department

Second Author's Department

Construction Engineering Department

Third Author's Department

Construction Engineering Department

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https://doi.org/10.1007/978-3-031-35471-7_31

All Authors

Raghda Attia, Khaled Nassar, Elkhayam Dorra

Document Type

Research Article

Publication Title

Lecture Notes in Civil Engineering

Publication Date

1-1-2024

doi

10.1007/978-3-031-35471-7_31

Abstract

Rework is a prevailing problem in the construction industry that affects the project’s performance in a negative way whether in terms of time delay or cost overrun. Advances in Building Information Modelling (BIM) have helped in tackling coordination problems that are deemed to be one of the major contributors to the causes of rework. However, most of the research has been directed towards solving coordination problems during the design stage, while coordination problems resulting in rework during the construction stage are minimally addressed. This paper aims to present an interactive framework that predicts potential areas in the project that might experience rework during the construction along with the severity of rework in a BIM environment. In order to achieve the aim of this paper, a two-stage methodology has been adopted. First, extensive review of the literature has been conducted in the areas of rework, BIM, coordination problems and artificial neural networks (ANNs), followed by interviews and surveys to collect historical data for the past projects. Second, a model has been developed utilizing data collected in the first stage through the integration of BIM and ANN. The proposed model has been applied on a case study of an actual project to demonstrate the use of the developed model and test its efficiency. The output of the model application was a user form presenting the severity of rework in terms of probability of occurrence of 28.31%, project delay of 14.51% and expected cost overrun of 0.065%, in addition to a 3D-highlighted BIM model as per the contribution of each project element to rework. The framework proposed should aid decision-makers in taking the necessary actions in either mitigating or avoiding the possible rework and accordingly reducing possible delays and cost overruns.

First Page

417

Last Page

436

Comments

Conference Paper. Record derived from SCOPUS.

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