四部门出台方案 汽车行业数字化转型将提速

Core Viewpoint - The implementation plan for the digital transformation of the automotive industry aims to accelerate the sector's transition towards high-quality development through enhanced digital collaboration among enterprises of all sizes [1][5]. Group 1: Development Goals - The automotive industry is a key area for digital transformation, with the plan outlining two development phases: by 2027, deep integration of digital technologies in various business processes will enhance manufacturing maturity and service systems; by 2030, the overall digital development of the industry is expected to reach a high level [2][3]. Group 2: Key Tasks - The implementation plan includes "six major actions" with 15 key tasks, such as improving diagnostic assessment systems, empowering small and medium-sized enterprises in digital transformation, and promoting the application of artificial intelligence in typical scenarios [4]. - Specific actions include enhancing the digital capabilities of automotive parts suppliers, encouraging the construction of 5G factories, and fostering collaboration within supply chains [4]. Group 3: Typical Scenarios - The plan identifies eight typical digital scenarios across five areas: intelligent collaborative research and development, model-based systems engineering, and flexible agile production, among others, providing guidelines for industry practices [7]. - In the intelligent collaborative R&D scenario, the focus is on creating platforms that integrate internal and external data to shorten development cycles and reduce costs [7]. - The flexible agile production scenario emphasizes data-driven smart scheduling and the use of AI algorithms to optimize production plans for customized products [7][8]. - The supply chain intelligent collaboration scenario aims to establish a unified data space for seamless business and data flow among automotive companies, parts suppliers, and logistics firms [8].