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Automobile Industry—Engine factory _ from warehouse operations to mainline material distribution.

Project Background

  • In the automotive industry, production processes are fixed, and the degree of standardization is high. The application of smart logistics in the automotive sector has also become more mature, with widespread use in the main assembly lines, engine production lines, and transmission assembly lines. Smart logistics not only enables automated delivery of components but also supports flexible assembly and manufacturing.


  • The client for this project is a leading enterprise in automotive engine manufacturing, undertaking an expansion project for its assembly line, increasing monthly production capacity from 120,000 to 180,000 units. The project uses one-way towing mobile robots to transport material carts, improving logistics efficiency and reducing labor costs.


Project Characteristics

Project Characteristics
Diverse material types and frequent vehicle switching

There is a wide variety of material types and frequent switching of vehicles, with each material model requiring a corresponding vehicle match to ensure accuracy. This makes scheduling more flexible and supports a diversified, flexible production model.


Digital management

Through identification and detection, the exact position and orientation of each component are ensured. Real-time updates on material status are provided, ensuring the integrity of the data chain and forming a closed-loop information system.


Complex production process with high efficiency requirements

On the complex production line in the PACK section, multiple AMRs must work in coordination to avoid collisions while maintaining an efficient production flow. This ensures real-time production demands are met, maximizing manufacturing efficiency.


Project Background

Project Alternatives

  • The project utilizes 31 SLAM navigation rear-towing mobile robots, 8 automatic charging stations, the CRMS mobile robot intelligent control system, and a quick-rolling door docking system.


  • The mobile robot intelligent control system interfaces with the customer's MES system, testing system, interface platform system, and EOL (End-of-Line) testing system. The testing equipment's PLC sends commands, which are converted into tasks by the CRMS system, enabling data sharing and signal integration, thus improving transport and production efficiency.


  • SLAM navigation mobile robots are used to autonomously transfer material carts in a rear-towing manner, enabling material transport between the ingredient area, filling area, and mainline. These robots complete tasks such as product assembly and testing. The CRMS central control system communicates with the production line MES to achieve intelligent control of the entire line and mobile robots.


Project Advantages

Improved Scheduling Efficiency
Improved Scheduling Efficiency

The solution incorporates two navigation methods, magnetic navigation and QR code navigation, with joint scheduling that effectively reduces costs, improves scheduling efficiency, and minimizes unnecessary traffic control caused by fragmented management.

Rapid Implementation of Smart Management
Rapid Implementation of Smart Management

The combination of the warehouse location management system and the mobile robot control system enables quick and cost-effective implementation of smart warehouse management, enhancing the utilization of the flat storage areas.

Stronger Execution Capability
Stronger Execution Capability

o avoid excessive empty-running tasks during AGV return trips, which could affect equipment utilization, a relay-style task distribution is adopted. Each task ends with the last task's drop point serving as the starting point for the new task, ensuring that the AGV can efficiently execute transportation tasks in a continuous cycle.

Project Benefits

Project Benefits

Cost reduction and efficiency improvement
Cost reduction and efficiency improvement

Lower the investment in fixed equipment, create a flexible production line, and improve scheduling flexibility; increase the yield rate and accuracy.

Intelligent logistics
Intelligent logistics

Achieve intelligent in-house logistics by optimizing warehouse locations, paths, and task assignments, and implementing full-process information management.

Digitalization and visualization
Digitalization and visualization

Accurately collect data on material efficiency, frequency, utilization, etc., and use the analysis to improve processes and enhance efficiency.

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