Enhancing BIM-Based QTO Using Visual Programing

Yasar Cepni, Asli Akcamete
Middle East Technical University, Turkey

DOI: 10.35490/EC3.2021.164
Abstract: Cost estimation relies on the correctness of the material QTO, but human inclusion and limitations of the 2D environment reduce the accuracy of QTO results. Hence, BIM-based QTO has been playing a prominent role in the construction industry. Nevertheless, the quality of BIM models affects the accuracy of quantities. Even the software features somehow hinder the quantification process. Therefore, this research proposes a framework for quantifying architectural cladding materials using visual programing for contractors. It is consequently verified that the accuracy of QTO results is significantly increased, and the benefits and limitations of the pro-posed strategy are discussed in detail.
Keywords: Quantity Take-Off, BIM, BIM-Based Quantity Take-Off, Visual Programming
Pages: 229 - 236
Paper:
Contribution_164_final

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