Complex supply chains in the construction industry are prone to inefficiencies, including material shortages, project delays, and cost overruns, necessitating robust analytical tools. This study presents an ABM developed to simulate and analyze the performance of a three-echelon CMSSC comprising producer, distributor, and contractor agents. The model captures these entities’ dynamic interactions and autonomous behaviors, providing a nuanced understanding of system-wide performance. Key performance metrics, including total supply chain cost, average project completion time, and late penalties, were evaluated through simulation over 100 time steps.Under the defined parameters, the supply chain efficiently facilitates project completion, achieving an average completion time of 13.80 steps and incurring zero accumulated late penalties. The total supply chain cost accumulated to 205,838.00, primarily reflecting operational expenses. These findings offer practical implications for resource allocation and planning in construction supply chain management. Future work will focus on incorporating more complex agent behaviors, external uncertainties, and empirical validation to enhance the model’s realism and applicability.
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