跨境供应链网络弹性策略组合优化研究

In the context of global economic integration and frequent uncertainties, cross-border manufacturers urgently need to build resilient supply chain networks to cope with multiple challenges such as supply disruptions, demand fluctuations, and transportation delays. This paper addresses the design problem of a single-product, multi-period cross-border supply chain network and proposes a mixed-integer programming model aimed at maximizing profit. It comprehensively evaluates the synergy effects of various resilience strategies, including multi-source procurement, backup suppliers, inventory redundancy, and backup demand sides. Through case analysis, it is found that the full strategy combination significantly enhances supply chain resilience, reducing profit volatility by 45% to 60% and shortage costs by 40% to 66% in disruption scenarios. Sensitivity analysis further reveals that the interruption probability of the main supplier, safety stock levels, and market demand growth rate are the core parameters affecting the effectiveness of the strategies, and dynamic optimization is needed to balance risk resistance and cost efficiency. The research indicates that the integrated application of resilience strategies can effectively enhance the stability and adaptability of cross-border supply chains, providing theoretical support and practical guidance for global manufacturing enterprises.