Author(s)

Jinsong Hu

Corresponding Author

Jinsong Hu

Abstract

Due to their massive scale, numerous construction processes, and complex interdisciplinary coordination, complex structural engineering projects often face high uncertainty and difficulty in construction schedule management. Effectively shortening project duration and improving resource utilization while ensuring engineering quality and safety has become a core issue in construction organization and project management. This paper investigates schedule management and critical path optimization for complex structural engineering projects. First, it analyzes the key characteristics and challenges of schedule management in such projects, highlighting the limitations of traditional methods in dynamic adjustments and multi-disciplinary coordination. Second, it explores the application mechanism of the Critical Path Method (CPM) in complex projects, proposing an optimization approach through adjusting task logical relationships, optimizing resource allocation, and implementing time-cost balancing strategies. Simultaneously, an intelligent dynamic progress monitoring and optimization framework is established by integrating information technologies such as BIM, big data, and artificial intelligence. Finally, case studies validate the feasibility and effectiveness of key path optimization. Results demonstrate that the implementation of optimization strategies significantly shortens project duration, enhances the rationality of construction resource allocation, and markedly improves overall progress control. This research provides theoretical support and practical guidance for the scientific management and intelligent optimization of construction progress in complex structural engineering.

Keywords

Complex Structural Engineering, Construction Schedule Management, Critical Path Method (CPM), Schedule Optimization, BIM Technology