Resilience-oriented lifecycle automation of structural RC elements via a multi-agent system framework

Disjointed coordination between design, management, engineering, and production teams continues to hamper efficiency in various residential construction projects. This disconnection leads to costly delays in material specification approval, production scheduling, and component shipment. To address this issue, a multi-agent system (MAS) is developed to automate enterprise resource planning (ERP) workflows for the procurement, ordering, manufacturing, and shipping of reinforced concrete structural elements in residential housing construction. By leveraging the cohesive power of the compact large language model (Phi-4-14B) and the model context protocol (MCP), the system enhances communication between artificial intelligence (AI) agents and human stakeholders, ensuring robust coordination across design validation, structural analysis, and manufacturing logistics. The data parser agent digitizes and verifies material specifications, whereas the structural analyst agent employs an accelerated stochastic finite element analysis (SFEA), utilizing Subset Simulation and physics-informed neural network (PINN) for rapid convergence without compromising accuracy. The workflow communicator agent ensures closed-loop ERP integration, synchronizing project approvals, and dispatching validated designs for production, with Internet of Things (IoT)-based tracking providing real-time status updates. By generating interpretable portable document format/comma-separated values (PDF/CSV) reports detailing stress–strain curves, probabilistic failure modes, and sensitivity analyses, the system minimizes manual intervention while maintaining engineer oversight. Case studies conducted across 20 residential construction companies demonstrate an 88% reduction in coordination errors and a 71% improvement in lead time, particularly for high-variability concrete materials. This study establishes a novel AI-driven framework that bridges MAS and ERP systems, offering a scalable, autonomous enterprise digital management solution to streamline the lifecycle of reinforced concrete structural elements from specification approval to on-site delivery.