1. Background & Current Situation

At present, all CNC machine tools in Xinjingchuang Technology’s Dongguan workshop maintain continuous 24-hour operation, while on-site manual operators have been reduced to a very small number. Most on-site personnel only undertake occasional patrol, equipment maintenance and abnormal troubleshooting work, which has formed the initial prototype of a low-labor manufacturing scenario. However, the current operation mode still faces three core bottlenecks: manual intervention is still required for material loading and unloading between different machine tools, production data of each CNC equipment exists in isolated information islands, and the full-automatic closed-loop logic from order release to finished product output has not been fully formed, which restricts the further improvement of overall equipment efficiency.
2. Transformation Objectives
This plan is positioned to build a practical unmanned CNC workshop that matches the current operation foundation of Xinjingchuang Technology in Dongguan. Within 12 months, the following quantifiable targets will be achieved:
. Increase the overall operation rate of CNC machine tools from the current 72% to over 93%;
. Reduce the number of on-site front-line operators by 75%, and no full-time post workers are required for the night production period;
. The repeated positioning accuracy of automatic loading and unloading reaches ±0.02mm, and the product processing qualification rate is stabilized above 99.2%;
. The full-process production cycle of workpieces is shortened by no less than 38%, and the order delivery response speed is significantly improved.
3. Core Implementation Measures
First, deploy intelligent composite robots for flexible operation. Each robot is configured with a composite end effector that supports fast switching, which can autonomously serve 3 to 5 CNC machine tools, automatically complete the whole process of material taking, loading, processing confirmation, blanking and inter-machine transfer. Combined with SLAM autonomous navigation technology, it plans the optimal walking path in the compact workshop site, and the single loading and unloading action can be completed in 8 seconds at the fastest. Second, build a unified workshop scheduling layer. Break the data isolation between different brands and different generations of CNC equipment, unify the map coordinate system of all mobile operation equipment, realize automatic traffic management, intelligent task allocation and real-time status reporting, and no manual intermediate transfer is required for cross-equation tasks. Third, complete the data interconnection with the upper MES system. The processing completion signal of each CNC machine tool will automatically trigger the subsequent material distribution and processing task, the inventory status of raw materials and semi-finished products will be synchronized to the digital platform in real time, and the whole process from order release to finished product storage will realize automatic data flow. Fourth, add a 3D visual auxiliary positioning module. It can adapt to the complex working conditions of oil stain on the surface of workshop workpieces and unstable ambient light, the recognition accuracy of workpiece and fixture position exceeds 99.5%, and the mold change time for small-batch and multi-variety orders is shortened from the original 2 hours to within 15 minutes.
4. Implementation Phased Arrangement
The whole transformation process is divided into three stages:
. The first stage (0-4 months): Complete the docking and debugging of the unified scheduling system, and realize the interconnection of all operating CNC machine tools on the same digital platform;
.The second stage (4-9 months): Put the first batch of intelligent composite robots into operation, complete the automatic loading and unloading coverage of the core processing unit, and realize the unattended operation of the single-machine processing link;
. The third stage (9-12 months): Realize the full-process closed-loop operation from raw material warehousing, processing and transfer to finished product detection, and officially complete the construction of the standard unmanned CNC workshop.
5. Benefit Assessment
After the implementation of the plan, the annual labor cost of the workshop will be reduced by more than 42%, the return on investment cycle of the whole transformation project is controlled within 18 months, and Xinjingchuang Technology (Dongguan) Co., Ltd will be built into a typical demonstration of flexible intelligent manufacturing in the CNC processing industry in the Guangdong