Project Background
Henan Xuchang XJ Group Co., Ltd., a subsidiary of China Electrical Equipment Group Co., Ltd. (a key state-owned enterprise supervised by the State-owned Assets Supervision and Administration Commission of the State Council), is a high-tech industrial group focused on power, automation, and intelligent manufacturing. As a leading enterprise in China's energy and power equipment manufacturing industry, its products are widely used across all segments of the power system and exported to nearly 50 countries and regions.

Business Needs
- Execution status of daily production plans and related impact factors cannot be fed back in a timely manner.
- Material consumption must be manually estimated, and material data is not updated promptly.
- Material delivery cannot achieve a JIT pull-based model, resulting in excessive line-side inventory buildup.
- Production data is recorded manually, leading to slow information transfer, low transparency, and inability to support quality traceability.
Implementation Overview
N2.MES Manufacturing Execution System
Covers plan management, quality management, equipment management, production management, kanban management, and alert management, supporting SMT lines in the placement workshop.

How the Solution Addresses Core User Needs
- Real-time control of production progress through kitting analysis, work order progress, WIP management, data traceability, and production dashboards.
- Full barcode-based material management with end-to-end tracking, enhancing material management capabilities.
- Implementation of a JIT material delivery model, enabling logistics distribution based on the real-time progress of production lines.
- Through auxiliary material and fixture control, material loading error-proofing, process error-proofing, and alert management, the system enables effective control of quality defects.
Implementation Benefits
- Kitting speed increased by 20%
- Production efficiency increased by 20%
- Plan fulfillment rate increased by 30%
- Average line changeover time reduced from 50 minutes to 30 minutes
