•  
  •  
 

Journal of System Simulation

Abstract

Abstract: Traditional construction simulation methods typically rely on predefined rules or static scheduling mechanisms, making it difficult to simulate interactive decision-making under complex constraints by dynamically adapting multi-crew construction scenarios. As a result, workforce idleness caused by process dependencies and spatial occupation fails to be solved. A simulation method for multicrew construction processes based on a LLM-powered agent was proposed. The distributed crew agents endowed with construction scenario understanding and reasoning capabilities were constructed, as well as a centralized project manager agent. A “single-manager and multiple-crew” decision-making mechanism for multi-agent interaction in construction was designed. Autonomous decision-making and coordination mechanism under the constraints of process, space, and resource was simulated. The simulation results demonstrate that the proposed method can generate efficient construction workflows tailored to different scenarios and can give rise to macroscopic construction strategies adapted to scenarios. It also produces a multi-crew scheduling plan under zero-shot conditions, achieving advanced scheduling algorithm performance without iterative optimization or training and optimizing allocation of human resources for the case project.

First Page

488

Last Page

500

CLC

TU722; TP391

Recommended Citation

Wang Yifan, Yang Bin, Wang Congjun. Simulation Method for Multi-crew Construction Processes Based on Large Language Model-powered Agent[J]. Journal of System Simulation, 2026, 38(2): 488-500.

Corresponding Author

Yang Bin

DOI

10.16182/j.issn1004731x.joss.25-0990

Download

Share

COinS