This research develops a theoretical framework to demonstrate how a self-organized global supply network can transition from a critical to a sub-critical state using a diversification-based risk mitigation strategy. In self-organized critical systems, the critical state represents a fragile equilibrium where small disruptions can escalate into disproportionately large avalanches due to interconnected dependencies and heightened sensitivity. In contrast, a sub-critical state signifies a more stable regime where disruptions are effectively contained, and large-scale failures are curtailed. Transitioning to this state reduces the system's inherent fragility while preserving its operational dynamics. We integrated two foundational concepts from Complexity Science: the Bak-Sneppen model and the Barabási-Albert model and perform Discrete Event Simulation and Agent-Based Modelling to simulate diversification strategy that increases the number of alternate suppliers and limits production capacity to the most vulnerable nodes for events with major disruptions. The strategy is applied continuously and adaptively to address the network's natural tendency to evolve back into a critical state. The results demonstrate that this approach effectively transitions the network to a sub-critical state, reducing the Vulnerability Index of critical nodes and curtailing the scale of dynamic disruptions. The findings underscore the efficacy of SOC-Based approach in stabilizing the network and mitigating dynamic failures.