制造业作为实体经济的主体，依靠数字信息技术来驱动制造业转型升级、提质增效，是实现我国经济高质量发展的关键所在。文章以安徽省为研究对象，构建数字经济与制造业转型综合评价体系，利用熵权-TOPSIS法、耦合协调度模型计算安徽省2011—2020年两者的发展水平及耦合协调度，并采用灰色关联度模型识别其关键影响因素。结果表明，安徽省数字经济与制造业转型水平呈增长趋势，两者间的耦合协调度也逐年提升，灰色关联度较高并进入了良性循环阶段。因此要顺应数字经济发展的潮流，加强顶层设计、夯实发展基础，强化创新引领、赋能产业转型，增强制造韧性、提升竞争优势，为促进我国数字经济与制造业转型的协同优化提供参考。

As the backbone of the real economy, the manufacturing industry relies on digital information technology to drive its transformation and upgrading, thereby improving quality and efficiency. This is crucial for achieving high-quality economic development of China. Focusing on Anhui Province, this paper constructs a comprehensive evaluation system for the digital economy and manufacturing transformation. Using the entropy weight -TOPSIS method and the coupling coordination degree model, we calculate the development levels and coupling coordination degrees of these two aspects in Anhui Province from 2011 to 2020. Additionally, we employ the grey correlation model to identify key influencing factors. The results indicate that both the digital economy and manufacturing transformation levels in Anhui Province exhibit a growing trend, with the coupling coordination degree between them increasing annually. The high degree of grey correlation suggests that they have entered a stage of positive interaction. Therefore, it is imperative to align with the trends of digital economy development, strengthen top-level design, solidify the development foundation, enhance innovation leadership, empower industrial transformation, boost manufacturing resilience, and improve competitive advantage. These measures will provide valuable references for promoting the synergistic optimization of China's digital economy and manufacturing transformation.