人工智能推动中小企业供应链韧性提升的影响研究

Research on the Impact of Artificial Intelligence on Improving Supply Chain Resilience of Small and Medium-Sized Enterprises

摘要: 在全球供应链不确定性持续加剧的背景下，中小企业供应链脆弱问题愈发凸显。本文采用文献研究与理论推演方法，剖析中小企业存在风险预判不足、协同调度能力薄弱、供应链恢复重建受限等现实困境，从风险预警、协同调度、应急响应、恢复重构四个维度阐释生成式人工智能推动中小企业供应链韧性的内在机理，并从企业、产业、政府三个层面提出轻量化工具应用、搭建产业共享平台、完善政策扶持等落地路径。研究可为中小企业借助生成式人工智能提升供应链韧性提供理论参考与实践思路。

Abstract: Against the backdrop of growing uncertainties in global supply chains, the vulnerability of small and medium-sized enterprises (SMEs) in supply chains has become increasingly prominent. Adopting literature research and theoretical deduction methods, this paper analyzes the practical dilemmas faced by SMEs, including insufficient risk prediction, weak collaborative scheduling capacity, and limited supply chain recovery and reconstruction capabilities. It explains the internal mechanism of generative artificial intelligence empowering SMEs’ supply chain resilience from four dimensions: risk early warning, collaborative scheduling, emergency response, and recovery reconstruction. Furthermore, this paper puts forward implementation paths concerning lightweight tool application, construction of industrial sharing platforms, and improvement of policy support from the perspectives of enterprises, industries and the government. The research can provide theoretical reference and practical ideas for SMEs to enhance supply chain resilience with generative artificial intelligence.