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Ministry of Industry and Information Technology: Encourage the construction of a big data public service platform for product quality in the fields of new energy and intelligent networked vehicles

China Economic Network, January 11 (reporter Guo Yue) a few days ago, the General Office of the Ministry of Industry and Information Technology issued the "Guidelines for the Implementation of Digitalization of Quality Management in manufacturing industry (trial)". The "Guidelines" proposes that in the fields of new energy and intelligent networked vehicles, relevant industry associations and leading enterprises should be encouraged to build a public service platform for product quality big data, and provide services such as online query of quality information, quality risk analysis, quality cost analysis and quality traceability. Encourage professional institutions to provide services such as quality management digital level assessment and diagnosis based on the platform, continuously build and improve diagnostic benchmarking models, strengthen diagnosis, training and counseling for the digitalization of quality management of small and medium-sized enterprises, and improve the overall performance of quality management.

Ministry of Industry and Information Technology: Encourage the construction of a big data public service platform for product quality in the fields of new energy and intelligent networked vehicles

The introduction of the "Guide" is to promote the upgrading of quality management in the manufacturing industry, empower enterprise quality management with digitalization, strengthen the quality coordination of the industrial chain, and optimize the quality innovation ecology.

The "Guide" said that promoting the digitization of quality management in the manufacturing industry is a systematic project, and it is necessary to improve quality and efficiency and promote quality change as the goal, and lay out in accordance with "focusing on a main line, accelerating three major changes, and grasping the four principles". Enterprises should play a major role, strengthen digital thinking, continue to deepen the application of digital technology in manufacturing quality management, and innovate quality management activities. Professional institutions should focus on improving services, accelerate the development and application of digital tools and methods for quality management, and provide public services such as software platforms. The competent departments of industry and informatization in all localities should focus on improving policy guarantees and supporting the environment, and do a good job in organizing and implementing them.

Focusing on the equipment manufacturing industry, the "Guide" requires that for machinery, transportation equipment manufacturing and other industries, product quality design based on digital models should be promoted. Promote the application of artificial intelligence, simulation and other technologies in product development and design, build product-level and component-level digital simulation models, carry out failure mode analysis and prevention, assembly and logistics simulation, identify optimal design solutions, improve quality design level through intelligent quality planning, and reduce the risk of quality loss. Promote the digital control of production and manufacturing, and apply technologies such as sensors, machine vision, automation control, and advanced measuring instruments in the production process in depth to improve the quality control level of the lean production process. Promote the improvement of service quality based on product life cycle management. Based on the online platform connection, the status identification and tracking of the whole machine and parts are realized, and extended services such as product failure early warning prediction and maintenance service early warning prompts are carried out to promote high-end products.

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