Analysis of Control of Construction Timing Taking into Account the Early Warning System of Missed Deadlines

Introduction. The study is dedicated to evaluating the existing methods for monitoring the construction time of residential buildings and substantiating the advantages of the early warning system (EWS). Traditional tools such as schedules and monitoring are insufficiently effective due to their reactivity and inability to identify risks ahead of time. The aim is to demonstrate the transition from reactive management to proactive predicting likely problems [1]. Modernization of traditional methods by integrating digital tools, introducing predictive analytics and using hybrid management methodologies transforms time control from simple tracking into proactive projection becoming an important competitive edge, allowing the construction industry to effectively deal with challenges and achieve goals with a maximum accuracy.

Materials and Methods. The object of the study is a construction time management system that includes planning, monitoring, and response methods. The major drawbacks of the traditional approach are delayed identification of problems as these methods mainly record problems as they emerge. Assessments are biased and holistic information environment is lacking.

Research Results. As part of the study, the author is expected to design a unique system of EWS indicators adapted to the realities of the Russian construction conditions, a methodology for integrating predicative analytics into the BIM environment, as well as an economic and mathematical model for calculating the effect of EWS implementation. These solutions will reduce the number of missed deadlines by 20–30%, automatically detect risks a week or a week and a half before they emerge, and achieve up to a 95% accuracy in predicting project completion.

Discussion and Conclusion. The proposed measures have a high practical value as they contribute to reducing developers’ financial and reputational costs, implementing legislative norms and increasing amount of trust among those involved in the market. Integration of modern technologies, use of predictive models and flexible management approaches transform timing control from passive monitoring into active prevention of possible disruptions. It is assumed that the implemented method will provide a reduction in the number of cases of missed deadline by 20–30%, and will allow early detection of possible threats prior to the impact of negative consequences improving the quality of project time frame assessment.

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