Author(s)

Yuxin Xue

Corresponding Author

Yuxin Xue

Abstract

Construction projects involve numerous interconnected links and variables, where quality, schedule, and cost constrain each other. Traditional experience-based management reveals its limitations against the backdrop of increasing data complexity and risk uncertainty. Introducing mathematical modeling into construction management can, on one hand, formalize multi-source data and constraint relationships to support rapid decision-making and dynamic correction; on the other hand, it can quantify hidden risks, resource conflicts, and cost deviations in advance, providing a methodological fulcrum and computational basis for refined whole-process governance. Based on this, this paper constructs corresponding modeling frameworks and application paths focusing on the four dimensions of construction management: quality, schedule, cost, and safety. The results indicate that this technical route can effectively improve efficiency, reduce costs, enhance quality and safety levels, and significantly increase project controllability and predictability.

Keywords

Mathematical Modeling Technology, Construction Engineering, Construction Management