Applying Building Information Modelling (BIM) Technology in Pre-Tender Cost Estimation of Construction Projects: A Case Study in Iran

Rashidi, Amirreza and Chan, Daniel W. M. and Ravanshadnia, Mehdi and Sarvari, Hadi and Tajaddini, Abbas (2024) Applying Building Information Modelling (BIM) Technology in Pre-Tender Cost Estimation of Construction Projects: A Case Study in Iran. Buildings, 14 (5). p. 1260. ISSN 2075-5309

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Abstract

The pre-tender cost estimation serves as the foundation for determining the project cost in the early stages and is crucial for all parties involved in the tendering process. It is expected to be highly accurate. However, industry surveys have advocated that in the Iranian construction industry, the pre-tender estimated costs of construction projects are not sufficiently accurate during the bidding stage. Building information modelling (BIM) technology is a modern digital tool deployed in the construction industry that has seen substantial growth of application. It employs useful tools in different sectors and has extended its involvement in various stages of the project lifecycle, including feasibility studies, planning, design, construction, and operation and maintenance. This study examines and assesses the status of BIM development in Iran for its applicability in the pre-tender cost estimating process in construction projects. The findings of this study indicate that while there is a limited number of Iranian building projects’ BIM models that possess the required quality and capabilities for BIM-based cost estimation, the results obtained are more precise when compared to existing manual methods. Additionally, utilising BIM-based cost estimation significantly reduces the time required for this process by enhancing the speed of cost estimation operations. An innovative evaluation framework for assessing the quality and functionalities of BIM models is presented, which improves the accuracy of cost estimation before the bidding process in Iran’s construction industry. The research findings demonstrate the enhanced accuracy and effectiveness of BIM as compared to conventional approaches. It also suggests the incorporation of AI technology for model evaluation, which has the potential to become an established global industry standard.

Item Type:	Article
Identification Number:	10.3390/buildings14051260
Dates:	Date Event 24 April 2024 Accepted 30 April 2024 Published Online
Uncontrolled Keywords:	BIM technology, pre-tender cost estimation, construction bidding, quantity surveying, Iran
Subjects:	CAH13 - architecture, building and planning > CAH13-01 - architecture, building and planning > CAH13-01-02 - building
Divisions:	Faculty of Computing, Engineering and the Built Environment > College of Built Environment
Depositing User:	Gemma Tonks
Date Deposited:	24 Mar 2025 14:47
Last Modified:	24 Mar 2025 14:47
URI:	https://www.open-access.bcu.ac.uk/id/eprint/16248

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