CNC Parameter Assistance System
About
Parameter settings during CNC assembly rely on adjustments made by experienced professionals. Because of the tolerance variations accumulated during the process and the fact that line technicians adjust the assembly based on tolerances, systematically passing on the knowledge is difficult.
Challenge
Currently, the average age of skilled technicians in the industry is relatively high, and training new employees relies on a great deal of hands-on experience, resulting in very high talent development costs. Although the CNC assembly process has been standardized, the details of practical operation require accumulated experience to become familiar with.
Solution
Neurelli Shifu 4.0 can digitize customers' CNC assembly parameter data, and use AI machine learning to assist specialists in making adjustment decisions, improving production precision and accuracy (Cpk). The AI model uses data-driven machine learning to absorb the accrued industry knowledge of master craftsmen, preventing gaps in CNC expertise that could lead to the risk of reduced company capacity.
Shifu 4.0 is equipped with a touchscreen industrial-grade HMI and a web interface. The system's web interface allows managers/quality control personnel to easily browse data, search, and view other analytical charts.
Result
Improving production precision and accuracy
Digitizing the experience of skilled professionals helps preserve technical knowledge and support sustainable business operations.
Quick Start
No guesswork needed to reach goals faster; new team members can get up to speed more quickly