Project Background

Inspur Group is a leading cloud computing and big data service provider in China, offering IT products and services to more than 120 countries and regions worldwide. Its high-end server motherboard R&D and manufacturing base focuses on the development and production of server host PCBA. The facility operates 12 production lines with an annual output of 1.2 million boards, with a total industrial scale of up to RMB 5 billion.

Business Needs

- A disconnect exists between workshop-level planning and on-site equipment control, making it impossible to achieve closed-loop business processes.

- Equipment data cannot be centrally managed, analyzed, or utilized.

- On-site information is not fed back in real time, preventing dynamic monitoring of production activities.

- Lack of in-process quality control, making it difficult to detect and handle production abnormalities in a timely manner.

- Need for real-time, sensitive monitoring of key production parameters with error localization and alert notifications.

Implementation Overview

N2.MOM Manufacturing Operations Management System

Provides integrated intelligent manufacturing planning covering intelligent warehousing, process management, SMT, DIP, assembly production control, automation integration, quality management, and intelligent logistics.

How the Solution Addresses Core User Needs

- Integrates material flow and information flow across the factory to achieve closed-loop management from raw material warehousing to PCBA outbound.

- Establishes SMT line production control models to enable real-time collection and monitoring of production data from key processes and equipment.

- Provides dynamic quality analysis with real-time quality alerts to enhance in-process quality control and traceability.

- Builds a quality knowledge base that supports continuous quality improvement through iterative data collection, analysis, processing, and accumulation.

- Enables MES functional expansion and replication with backend configuration and minimal development.

Implementation Benefits

- Equipment OEE increased by 15%

- Equipment maintenance costs reduced by 15%

- Production efficiency increased by 30%

- Statistical efficiency increased by 3×

- Overall resource utilization increased by 18%