由统一的工厂建模到工艺流程，生产计划到数据追溯，设备管理到数据分析，将企业生产信息整合到平台上，实现精益生产，提高企业竞争力。

工厂建模：将企业生产制造模型进行规范，并将这些模型信息化。

工艺管理：工艺、配方信息整合在系统中，实现高度柔性化生产。

生产管理：可视化自动排产，实时进度把控及多品种小批量生产。

质量管理：实时监控生产质量，严格控制质量数据和物料数据的完整性。

设备管理：设备状态及运行参数的实时监控，精细化维护保养作业。

看板管理：全面的异常呼叫机制，提高响应速度，减少设备的停机率。

数据分析：设备、质量、绩效数据分析，为决策提供可视化依据。

数字孪生：B/S架构，海量数据驱动，实时虚实联动。

    From unified factory modeling to process flow, production planning to data traceability, equipment management to data analysis, integrating enterprise production information into the platform to achieve lean production and improve enterprise competitiveness.

Factory modeling: Standardize and informatize enterprise production and manufacturing models.

Process management: Process and formula information is integrated into the system to achieve highly flexible production.

Production management: visual automatic production scheduling, real-time progress control and multi-variety small batch production.

Quality management: monitor the quality of production in real time and strictly control the integrity of quality data and material data.

Equipment management: real-time monitoring of equipment status and operation parameters, fine maintenance operations.

Kanban management: a comprehensive abnormal call mechanism to improve the response speed and reduce the downtime rate of the device.

Data analysis: equipment, quality and performance data analysis to provide a visual basis for decision-making.

Digital twinning: B/S architecture, massive data-driven, real-time virtual linkage.