The advancement of building information modeling (BIM) technologies is driving the implementation of construction information classification systems (CICS) to structure and standardize data across all phases of a project's lifecycle. This study aims to develop a formalized method for the formation of CICS, incorporate algorithms for selecting expert groups, develop the classification system, and assess its quality using the Delphi method. The proposed approach systematizes the classifier development process and ensures the incorporation of expert opinions, thereby enhancing the objectivity of evaluation and minimizing the risk of subjective distortions. The method consists of multiple iterative development cycles, each accompanied by testing and expert evaluation of the implemented improvements. To assess the effectiveness of the proposed approach, a comparative analysis was conducted, evaluating time and financial expenditures as well as the quality of the classification systems obtained using both the traditional and the newly proposed methods. The method was tested in a real-world production environment, where the CICS developed using the new method received 45 % higher expert ratings compared to traditional methods, while time and financial costs were reduced by 43 %. Thus, the application of the developed method optimizes the formation of CICS and enhances the quality of the final outcome, which is particularly relevant given the increasing complexity of construction projects and the accelerating digitalization of the construction industry.
Zagorodnii et al. (Wed,) studied this question.