Weichai Engine Selected as a Pilot for the Application of National Intelligent Manufacturing
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Weichai Engine Selected as a Pilot for the Application of National Intelligent Manufacturing

Views: 0     Author: Site Editor     Publish Time: 2025-06-04      Origin: Site

Weichai Engine Selected as a Pilot for the Application of National Intelligent Manufacturing

It is reported that the collection of pilot projects for the application of intelligent manufacturing standards aims to play a leading role in supporting standards, promote manufacturing enterprises to use standardized methods to organize production, operation, management, and services, form a batch of standardized and high-level system solutions, and promote the high-end, intelligent, and green development of the manufacturing industry. The unit responsible for the pilot project should promptly summarize innovative measures and typical experiences, and replicate and promote them to the upstream and downstream of the industry.

Weichai engine's high-end engine intelligent factory construction standard application pilot project, by benchmarking national standards and focusing on the construction needs of typical intelligent manufacturing scenarios, carries out standard pilot actions for intelligent factory integration application, supply chain collaboration application, and new mode innovation application. It digitizes workshop manufacturing equipment, production resources, process design, workshop information exchange, manufacturing operation management, etc., enabling the workshop to achieve lean production, lean logistics, visual management, standardized management, and green manufacturing, and builds a benchmark digital factory for engine enterprises.

In recent years, Weichai has continuously accelerated its innovation pace, empowered by intelligence and digitization, accelerated the deep integration of new generation information technology and manufacturing industry, promoted the application of AI+industrial metaverse, empowered process optimization and equipment predictive maintenance, and created a new ecosystem of intelligent manufacturing.


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