4 Ways for Auto Repair Shops to Improve Labor Efficiency with Smart Equipment in 2025

Have you ever faced backlog of work orders and customer reminders for progress due to rework caused by inaccurate measurements by technicians during wheel repair, low efficiency in manual parameter adjustment, and time-consuming repeated operations for wheels of the same model? This article will focus on the entire wheel repair process and provide 4 methods to improve labor efficiency using smart wheel diamond cut machines, helping you reduce reliance on senior technicians and speed up the repair rhythm.

1. Smart Infrared Measurement: New Employees Master Positioning in 10 Minutes, Saving 30% of Measurement Time

Traditional wheel repair relies on technicians’ manual measurement with calipers, where errors often exceed 0.5mm, leading to rework due to subsequent diamond cutting deviations. However, the infrared measurement function of wheel diamond cut machines can automatically and accurately collect data, allowing new employees to complete basic positioning without experience. Measurement is the first step in repair; its accuracy directly affects subsequent processes, and efficient measurement can avoid rework from the start. The specific steps are as follows:

Step 1: Choose a diamond cut machine model with infrared function. Prioritize Gubot wheel diamond cutters models GBT-LSL22 (max processing 22 inches) or GBT-LSL28 (max processing 28 inches) — both are equipped with infrared laser detection, with a positioning accuracy of ±0.01mm, covering the wheel sizes of over 95% of family cars.

Step 2: Standardized operation for new employees. Measurement can be completed in only 3 steps: ① Fix the wheel on the three-jaw chuck to ensure no looseness; ② Press the "Scan" button on the equipment, and the infrared sensor automatically circles the wheel once, collecting key data such as diameter and radian within 15 seconds; ③ The system automatically generates a 3D model without manual recording or estimation, enabling new employees to operate independently in 10 minutes.

Step 3: Compare efficiency with traditional measurement. Traditional manual measurement takes 5-8 minutes per wheel and is prone to errors due to visual deviations; smart infrared measurement takes 15 seconds per wheel, improving efficiency by 20 times, and reducing the rework rate from the traditional 15% to below 3%, thus cutting material waste.

At this point, you may wonder: now that measurement is accurate, how to adjust parameters quickly for subsequent diamond cutting? Continue reading — the second method will solve your problem of processing parameters.

2. Automatic Parameter Matching: 1-Click Parameter Adjustment by System, 1 Person Can Manage 2 Machines

Traditional diamond cutting requires technicians to repeatedly adjust the spindle speed (often with deviations over 500r/min) and cutting feed rate by feel, taking 5-10 minutes to adjust parameters for a single wheel. However, the intelligent curve optimization function of wheel diamond cut machines can automatically match parameters, allowing new employees to avoid manual trial and error. Processing parameters are the core affecting efficiency; automatic matching can reduce manual intervention and enable technicians to operate multiple devices simultaneously. The specific steps are as follows:

Step 1: Confirm basic wheel information. Select the wheel material (aluminum alloy/steel) and damage type (minor scratches/deep wear) on the equipment operation screen; the system will recommend initial parameters based on the built-in database.

Step 2: Activate the automatic optimization function. Take Gubot LSB300-PRO diamond cut machine as an example — after pressing the "Parameter Optimization" button, the system will automatically adjust the spindle speed (0-3000r/min) and cutting feed rate (0.1-1800mm/min) based on infrared measurement data, ensuring uniform diamond cutting texture without repeated manual fine-tuning.

Step 3: Realize one-person multi-machine operation. After parameter setting is completed, the equipment will automatically execute the diamond cutting process; technicians only need to check the processing status once every 15 minutes (processing time per wheel), and can operate another diamond cut machine simultaneously during this period. Compared with traditional manual operation (1 person for 1 machine), single-person productivity is doubled.

At this point, you may ask: what if new employees cannot handle abnormalities during processing? The third method will solve the problem of fault handling efficiency.

3. Fault Self-Diagnosis + Remote Support: Locate Problems in 3 Minutes, No Need to Wait for Maintenance Technicians

When traditional diamond cutting equipment has problems such as tool jamming or abnormal speed, new employees have to wait for professional maintenance technicians to arrive on-site, delaying work orders for at least 1 hour. However, the fault self-diagnosis function of wheel diamond cut machines allows new employees to quickly identify problems, and for complex situations, remote assistance is available. Equipment faults are hidden efficiency killers; rapid handling can avoid work order interruptions. The specific steps are as follows:

Step 1: Identify equipment alarm signals. Gubot wheel diamond cut machines are equipped with a three-color light alarm function — a red light indicates an abnormality, and the operation screen will simultaneously display fault codes , eliminating the need for new employees to check parts one by one.

Step 2: Resolve basic faults independently. Refer to the equipment manual and perform corresponding operations based on fault codes: for example, "E03" requires cleaning tool holder impurities, and "E08" requires wiping the infrared sensor lens. 80% of basic faults can be resolved within 3 minutes.

Step 3: Seek remote assistance for complex problems. For difficulties such as abnormal system programs, connect to the Gubot technical team via the equipment’s remote control function. Technicians can log in to the equipment remotely for troubleshooting, and 90% of complex faults can be resolved within 1 hour — 3 times faster than traditional on-site maintenance (which takes 2-4 hours).

At this point, you may think: do I need to re-operate every time I process wheels of the same model? The fourth method will help you save time on repeated operations.

4. Program Storage and Reuse: 1-Click Call for Wheels of the Same Model, Saving 20% of Transition Time

For traditional repair of wheels of the same model, re-measurement and parameter adjustment are required every time, with repeated operations accounting for over 20% of the total time. However, wheel diamond cut machines can store processing programs for direct call next time, significantly reducing transition time. Wheels of the same model are a common demand in stores; program reuse can make batch processing more efficient. The specific steps are as follows:

Step 1: Store the program during the first processing. When repairing a wheel of a specific model (e.g., 19-inch aluminum alloy wheel), after completing measurement and parameter setting, select "Program Storage" on the equipment operation screen, name it "19-inch Aluminum - Standard Texture", and the system will save all processing data.

Step 2: Directly call the program for subsequent processing. When encountering wheels of the same model again, no re-scanning is needed — find the corresponding name in the "Program List" and click "Call". The equipment will automatically load the previous measurement data and parameters, completing preparation within 10 seconds.

Step 3: Improve efficiency through batch planning. Count the daily number of orders for wheels of the same model and arrange processing in batches of 5 units. After calling the program, start batch processing — this saves 30 minutes per batch compared with scattered single-unit processing, and enables handling 10-15 more orders per day.

Conclusion

Focusing on the 4 links of wheel repair — measurement, processing, fault handling, and batch transition — using the infrared measurement, automatic parameter, fault self-diagnosis, and program storage functions of smart wheel diamond cut machines can significantly improve labor efficiency and reduce reliance on senior technicians. Which function of the diamond cut machine will you try first to improve efficiency? Is it the infrared measurement that even new employees can master, or the program storage that saves repeated operation time? Please share your thoughts in the comment section.