我省出台指南 促电动汽车行业升级

Core Viewpoint - The newly released "Implementation Guidelines for Intelligent Transformation and Digitalization in the Electric Vehicle Industry" aims to guide electric vehicle companies in Jiangsu Province towards continuous upgrades in emerging technologies, key technologies, business processes, and core elements to further promote industry transformation and development [1] Summary by Relevant Sections Target Audience - The guidelines primarily target midstream companies within the electric vehicle industry chain in Jiangsu Province, acknowledging the complexity of electric vehicle product development and manufacturing, as well as the varying digitalization foundations and resources among large, medium, and small enterprises [1] Implementation Paths - The guidelines propose different implementation paths for various types of companies: - Large vehicle manufacturers should aim to set industry benchmarks and lead industrial upgrades - Medium-sized enterprises should focus on key areas to achieve collaborative breakthroughs - Processing and supporting enterprises, along with small and micro enterprises, should concentrate on core needs to achieve low-cost transformations [1] Common Paths for Industry Transformation - The guidelines outline four common paths for industry transformation: 1. During the planning phase, companies can utilize the integration of information technology and industrialization management system along with digital transformation maturity models for systematic diagnosis and assessment 2. In the organizational implementation phase, emphasis should be placed on the deep integration of digital projects with core business, promoting digital transformation of operational models through customized development and continuous optimization 3. In the effectiveness evaluation phase, companies should leverage digital capability assessment systems and multi-dimensional data analysis to accurately identify weak links in the transformation process and propose targeted improvement suggestions 4. In the iterative optimization phase, continuous improvement of solutions should be pursued, forming a closed-loop management model of "assessment—optimization—re-assessment" to advance intelligent transformation and digitalization to higher levels [1]