Optimization of Construction Planning and Management Using Artificial Intelligence

Introduction to the framework topic:

The dissertation addresses the optimization of construction planning and management through modern methods of artificial intelligence. Traditional approaches to construction management are often characterized by high labor intensity, limited predictive accuracy, and the complex coordination of numerous processes and resources. These shortcomings negatively affect costs, schedules, and the quality of the final product. The dissertation also highlights the importance of digitalization and artificial intelligence for the future development and competitiveness of the construction sector.

Research focus:

The research involves the development of models enabling the prediction of the time and cost demands of construction activities, risk assessment, and decision support in selecting optimal technological alternatives. Emphasis is placed on the analysis and integration of the spatiotemporal and technological structures of construction projects. Particular attention is devoted to multi-criteria analysis, which considers not only economic and temporal factors but also environmental impacts, occupational safety, and the potential integration of robotic systems into construction production.

Expected results and applications: