en.Wedoany.com Report on Mar 30th, Recently, Gechuang Dongzhi showcased its self-developed industrial intelligent decision-making hub "Octopus Brain" and a full-scenario industrial AI agent swarm in Shanghai, China. Against the backdrop of accelerating AI application in smart semiconductor manufacturing, Gechuang Dongzhi demonstrated the core architecture of the next-generation smart factory through a closed-loop solution covering perception, decision-making, and execution. These technologies endow traditional Computer Integrated Manufacturing (CIM) and Automated Material Handling Systems (AMHS) with predictive and response capabilities, enabling AI agents to assist in production decision-making within milliseconds.

The core of the industrial AI agent swarm application lies in deeply embedding artificial intelligence into the specific processes and business logic of semiconductor manufacturing. The technical solution released this time covers multiple full-scenario domains including production, equipment, quality, facility management, and warehousing. According to actual application data, the anomaly closed-loop agent has reduced key response time from 4 hours to 5 minutes, the equipment maintenance agent has improved minor fault handling efficiency by 63%, and the full-stack AI quality inspection solution has helped customers increase shipment yield by over 50%. These quantifiable metrics demonstrate the feasibility of AI technology transitioning from lab environments to actual production lines.

Local Chinese industrial AI enterprises are undergoing rapid evolution in their systematic capabilities. Gechuang Dongzhi's differentiated advantage lies in its manufacturing know-how DNA, with its solution designs closely aligned with actual production line logic. Booth staff stated: "The value of industrial AI lies not in the size of its parameters, but in whether it can truly solve the problems factories care most about: yield, efficiency, and cost." This pragmatic orientation addresses the real needs of the semiconductor industry under the dual pressures of capacity utilization and cost control, helping to build factories with autonomous evolution capabilities. By deeply integrating the industrial AI agent swarm into manufacturing processes, Gechuang Dongzhi provides a clear path for the construction of future factories.