New energy battery materials

Advantages of the plan

The process route can be flexibly adjusted. According to customer demands, the production process can be quickly changed and it is also linked to the lower level.
The material requisition and ingredient allocation are generated automatically based on the main ingredients and inventory system, and are linked with the underlying distribution system to achieve automatic material requisition and ingredient allocation.
Production linkage enables integration with the underlying BATCH or DCS system, and the execution of batch tasks is issued. This also enables batch interruption and automatically generates electronic batch records.
Material balance is achieved through the collection of measurement data and abnormal material management, enabling batch material balance calculations.
Energy consumption per unit, based on batch production records and energy consumption data collection, enables energy consumption analysis and work reporting by batch and work section.
Full-process process quality data traceability analysis, meeting the requirements of the factory inspection.

Demand Insights

Strict quality traceability and process control are implemented to achieve two-way traceability of raw materials to finished products throughout the entire process, precisely control key process parameters, conduct real-time SPC analysis, and ensure compliance of batch quality.

Complex equipment and precise energy efficiency management, deep integration of MES with equipment, achieving equipment interconnection, precise management of energy consumption, reducing unit energy cost, supporting the goal of green manufacturing.

Flexible production and process agile management, with rapid product iteration, an increase in multi-variety and small-batch production models. It is necessary to support rapid formula switching, flexible scheduling, and dynamic process route adjustments, reducing changeover time, and improving the adaptability of the production line and resource utilization efficiency.

Data-driven decision-making and compliance assurance. In the face of cost pressure and external competition pressure, it is necessary to break through information silos, collect, integrate, and analyze production, quality, equipment, and energy consumption data in real time, provide visual insights, and support scientific decision-making.

Solution Architecture

Typical cases

Daisen Technology

Hubei Wanrun

Shandong Jinggong

Xiamen Haichen

Lithium Source Indonesia

Lithium Source Indonesia,