关键词: 设计变更；过程控制；多维评估策略；数字孪生；人工智能；控制模型；VUCA 环境

Abstract: Against the backdrop of steady upgrading of the global automotive industry, design change management is upgrading from an auxiliary function to a strategic dimension of core competitiveness for enterprises. This article focuses on the technological evolution path and systematic innovation of design change management in the automotive industry, and proposes a solution framework empowered by the collaboration of digital twins and artificial intelligence.Research has revealed that traditional management models have significant efficiency bottlenecks in responding to high-frequency change demands, while a dynamic balance mechanism based on the "cost-cycle-quality" ternary control model can systematically optimize the resource allocation capability of the entire value chain. By deconstructing multidimensional driving factors such as technological iteration, regulatory upgrades, and supply chain resilience, combined with typical cases in the aerospace and automotive industries, this paper elucidates the breakthrough value of digital twin technology in real-time simulation verification and multi physics coupling optimization, as well as the core role of artificial intelligence in change impact prediction and decision-making closed-loop. To address industry pain points, propose cross platform knowledge accumulation and multidimensional quantitative evaluation strategies, and explore the enhancement effect of intelligent management paradigm on agile response capability and sustainable competitiveness. This study provides theoretical support for the automotive industry to establish a new management system for technology-organization co-evolution in volatile, uncertain, complex, and ambiguous (VUCA) environment, pointing to practical directions for driving the leap of "new qualitative productivity" through digital intelligence integration.

Key words: design changes; process control; multi-dimensional evaluation strategy; digital twin; artificial intelligence; control model; VUCA environment