This study investigates how sustainability can be integrated into supply chain management through the simulation of reverse logistics and the optimization of inventory routing problems. Using a simulation-based approach, the research examines ways to minimize logistical costs and CO2 emissions, thereby enhancing the sustainability of supply chains. The methodology involves creating a multi-agent system model using Anylogic software to assess how incorporating reverse logistics practices affects the efficiency and sustainability of supply chain operations. Through various simulated scenarios, the study quantifies the advantages of order collection and the return of unsold inventory, providing insights into cost savings and environmental benefits. Results indicate that integrating reverse logistics not only reduces carbon emissions and transport expenses but also improves the economic efficiency of supply chains. This research adds to the understanding of Sustainable Supply Chain Management (SSCM) by offering a comprehensive analysis of the role of reverse logistics in fostering sustainability within supply chains. It also suggests avenues for further investigation into the long-term impacts of reverse logistics across different industries and the exploration of technological innovations for optimizing reverse logistics operations.