Modeling and Simulation Analysis of Multi-Node Supply Chain Disruption Response Mechanisms

Supply chain disruptions pose escalating threats to operational continuity and competitive advantage, necessitating effective resilience mechanisms. This study investigated the effectiveness of collaborative strategies in enhancing supply chain resilience through agent-based simulation comparing four recovery approaches: no coordination, backup supplier, rapid response, and combined collaborative mechanisms. A 120-day simulation incorporating multipoint disruption scenarios across a multitier supply chain network revealed that the combined collaborative strategy achieved 34.6% faster recovery, maintained 6.9 percentage points higher order fulfillment rates, reduced cost volatility by 36.3%, and demonstrated 139% higher system stability compared to baseline no-coordination approaches. Statistical validation confirmed highly significant differences across all performance metrics. Critically, findings demonstrate that response speed rather than capacity redundancy emerges as the binding constraint for moderate-duration disruptions, and synergistic effects generate 6-15% performance premiums exceeding additive predictions from individual mechanisms. Results provided simulation-based validation for integrated collaborative resilience investments and offered actionable guidance for prioritizing response agility over resource redundancy.