The interdependence among different work items involved, such as architects, civil and electrical works, is one of the fundamental reasons. Two real projects validated the implementation of the framework, as well as the capabilities of the add-in, demonstrating its applicability in practical cases.Ĭonstruction projects have become increasingly complicated and challenging to manage in recent years, especially in analyzing the quantity and cost estimation of construction work to get accurate results and overrun costs. Besides, it structures alternative ways of digitally representing elements and activities not graphically expressed in the model, allowing automated, more efficient, faster and cheaper production of coordinated reports of quantities and construction specifications.
The proposed system improves current BIM-based practices by mitigating the number of non-automatised intermediary steps, not requiring any other proprietary BIM platform rather than the authoring tool. It encompasses information modelling requirements, establishing a construction specification database and an add-in on the authoring tool that automatically produces joint construction specifications and quantity QTO documentation. This work addresses the problem by proposing a BIM-based framework for automatised coordinated construction specification and quantity takeoff.
In addition, besides the BIM authoring tool, they demand other proprietary platforms to obtain the expected outcomes, leading to interoperability issues and representing an obstacle to small and medium architectural design offices in terms of needed investment and customisations inherent to their business model. However, their execution and integration still rely on time-consuming and error-prone manual or semi-automatic interventions to deal with the lack of completeness, suitability and granularity of produced BIM models in design practice, mostly related to elements and activities not digitally represented in these models. BIM-based construction specification and quantity takeoff (QTO) processes have proven faster and more reliable than traditional methods.
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