Cases

Create Value for Every Warehouse and Factory

Project Background

China's automotive parts industry is accelerating its transformation to "digital intelligence". Faced with the pain points of complex material SKUs (more than 2,000 types), low on-site distribution efficiency (more than 15 minutes in traditional mode), and complex human-computer interaction scenarios (200 + machine stations), Zhongding Technology uses the full-stack solution of "intelligent mobile robot + intelligent scheduling system + management and control platform" to help auto parts companies break through logistics bottlenecks, build an efficient intelligent logistics system that is adapted to the "JIT+C2M" model, and promote the industry to upgrade to unmanned and digitalization.

Project Features

  • Class 3 AGV collaborative operation: three-way forklift AGV + plane handling AGV + stack height AGV combination

  • A-RCS scheduling system driven: real-time management and control of the new generation of intelligent scheduling system

  • WMS/MES dual system integration: Intelligent management and control system data is connected throughout the process

  • Full-stack solution architecture: "Product base + schedule brain + management platform"

Solution

Zhongding Technology has created a three-way forklift AGV (supports 3-meter height access), a plane handling AGV (load 2T), and a stack height AGV (lift height 5 meters), and a three-dimensional storage network with intelligent warehousing equipment. Equipped with the core A-RCS intelligent scheduling system and integrated WMS/MES management and control platform, it realizes the full process automation from raw material storage to production line distribution, forming a closed-loop management of "scheduling - execution - feedback".

Benefit Value

High-density storage saved storage space and increased storage capacity by

40%

Intelligent scheduling optimized energy consumption, reducing energy consumption by

20%

The operation cycle shortened to 9 minutes, and the efficiency improved by

40%

Unmanned operations reduced labor costs by

50%

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