Motor

Advantages of the plan

Data-driven decision-making: Real-time collection and analysis of production data, optimization of production scheduling and resource allocation, and improvement of management efficiency.
Flexible production response: Supports rapid switching of multiple small-batch orders, adapting to the dynamic demands of the market.
Full-process quality traceability: Tracking throughout the entire life cycle from raw materials to finished products, ensuring compliance with quality standards and precise identification of issues.
Intelligent device interconnection: Through IoT, achieve real-time monitoring of device status and predictive maintenance, reducing the risk of downtime.
Precise process control: Digitalized process parameter management ensures the consistency of high-precision motor production.
Cost transparency and controllability: Precise energy consumption and material management, reducing hidden waste and enhancing overall efficiency.

Demand Insights

Establish a digital quality closed-loop system, covering the entire process of data collection and forward-backward traceability from IQC (incoming material inspection) to OQC (factory inspection), and achieving real-time monitoring and deviation warning of key process parameters (such as winding accuracy, insulation performance), to ensure production consistency.

The demand for equipment interconnection and intelligent operation and maintenance is urgent - through the industrial Internet of Things (IIoT) platform, real-time monitoring of equipment status, predictive maintenance for faults, and optimization analysis of energy consumption can be achieved, reducing the risk of downtime and improving the overall efficiency of equipment (OEE).

Insufficient collaboration in supply chain and detailed inventory management - In the motor industry, there are numerous types of raw materials, and problems of inventory accumulation and material shortages coexist. It is necessary to implement unique material identification (one item, one code) management through the MOM system, combine with ERP to dynamically synchronize inventory data, support overdue warning and supplier collaboration, reduce stagnant materials and ensure production continuity.

Scheme architecture

By automatically matching process parameters and integrating digital data streams throughout the entire production process, it covers key links from sales orders, advanced scheduling, material completeness checks to process execution, quality warnings, and equipment maintenance. Relying on data-driven methods, it enables precise production planning, real-time process synchronization, quality closed-loop control, and preventive equipment maintenance. At the same time, through dynamic inventory monitoring and logistics collaboration, it optimizes supply chain efficiency, ultimately building a transparent and flexible manufacturing operation system to support enterprises in reducing costs, increasing efficiency, and achieving agile delivery.

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Typical cases

Mid-Gatt

Association Motor

Dechang Motor