Release time:2024-01-11
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The automotive machinery manufacturing industry encompasses processes such as casting, forging, stamping, heat treatment, welding, machining, and mechanical assembly. This also includes automated production lines for tasks such as blank manufacturing, machining, assembly, testing, and packaging.
In the realm of automated lines within machinery manufacturing, these processes are among the fastest-growing and most widely adopted. The key types of automated lines include:
1. Automated machining lines for complex parts: These lines use combined machine tools for the processing of boxes, shells, and miscellaneous components.
2. Automated lines for shaft and disc parts: These lines consist of general, specialized, or custom automated machines designed for the efficient machining of shaft and disc components.
3. Automated rotary body machining lines: These lines are designed specifically for the processing of cylindrical or rotational parts.
4. Simple automated lines for small parts: These lines focus on straightforward processes for small parts like rotors.
Key aspects of automated production lines:
1. Takt time determination: For any product, the cycle time must be precisely established to ensure consistent and timely completion of tasks.
2. Unit process: Each unit process is dedicated to handling, assembly, processing, or material handling for a specific part or product.
3. Visual takt time monitoring: Devices are employed to visually track and monitor takt time in real-time for better production flow.
4. U-shaped production line: Equipment is arranged in a U-shape, counterclockwise, with one person managing both the entry and exit points to streamline workflow.
5. AB control system: Production only begins when the preceding project is completed, ensuring just-in-time processing for maximum efficiency.
6. Signal lights: Conveying devices with signal lights monitor product movement throughout the production process.
7. Post-project demand management: Products move to the next phase of production based on the demand for subsequent processes, optimizing workflow and reducing waste.