Funding for engineering construction and renovation projects at universities is generally limited, with project progress heavily dependent on investment decision-making. This critical phase involves gathering data on geological conditions, materials and equipment availability, water and electricity infrastructure, pipeline distribution, and more to conduct a thorough feasibility analysis. The project’s necessity and economic viability are evaluated from multiple perspectives, including technology, management, organization, and finance, while comparing all available options to identify the optimal solution.
Internal engineering audits within universities serve as a form of economic oversight, ensuring strict control over the substantial funds allocated to these projects. Studies indicate that decisions made during the investment stage can affect 75% to 95% of the total project cost, highlighting the importance of strengthening audits at this phase to control costs from the outset.
During the decision-making stage, auditors review extensive documentation involving complex engineering estimates. The accuracy of the information and the scientific validity of the plan are crucial to making correct decisions. Traditional methods rely heavily on the experience of personnel and subjective scheme ratings, lacking both clarity and scientific rigor. Implementing BIM technology enhances this process significantly.
Thanks to BIM’s visualization capabilities, auditors no longer need to rely solely on 2D drawings. Instead, they can virtually construct projects based on various plans and examine intuitive 3D models. This allows them to analyze site conditions and project performance with greater clarity. Since university engineering projects are often simple and similar in scope, BIM models can be retrieved using historical data aligned with current project characteristics. Leveraging computer algorithms, auditors can estimate costs and durations more precisely by referencing past projects, processes, and materials, providing valuable guidance for the current proposal.
When estimating investments, each component within the BIM model contains detailed information such as materials, pricing, and technical specifications. Adjusting parameters for each scheme within the model allows for rapid, accurate updates of various indicators, leading to more precise cost estimates. Throughout the iterative adjustment process, auditors can evaluate the optimal solution more scientifically, improving decision-making efficiency and supporting future design optimizations.
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