Through the combination of automation and information technology, it can solve various application scenarios such as automatic production scheduling, automatic logistics, automatic formulation and automatic counting in the production process
To build an overall intelligent manufacturing factory benchmark enterprise
1、Plan-aps: Realize production lead time transparency ●
2、production -MES: to realize workshop process management digitalization ●
3、Process -EAP: realize the automation of data collection and formulation ●
4、Quality -QMS: realize the whole process traceability of single PNL/PCS●
● 5、Warehouse-wms: Intelligent warehouse management
● 6、Device-pms: implements TPM prevention and management
● 7、Decision -BI: Implement multi-level, multi-dimensional and multi-form presentation
● 8、O&m -DR: Platform, low code, lightweight
Per capita output is about two and a half times that of traditional factories
Manpower is a third smaller than in a traditional factory
The production cycle is shortened by 3~5 days on average
With the support of the drilling workshop data, the optimized running rate of production line was increased from 75% to 90%, and the upper and lower plate timeout time and cutter breaking rate were continued to be optimized. The cutter breaking rate was also related to the machine, shaft number and diameter of drill needle, which was optimized to 93% again and increased by 18%