Project Background
Nanjing GSK-NANJO Auto Parts Co., Ltd. is a well-known automotive interior manufacturer specializing in seats, door panels, inner panels, headliners, sun visors, and related components. It is the largest interior systems manufacturer under GSK Group, a comprehensive automotive parts group, and a supplier to domestic and international automotive brands including Changan Mazda, Dongfeng, Chery Jaguar Land Rover, SAIC Maxus, and NIO.
Business Needs
- Production tasks lack transparency, plan release is slow, and task changeover time is long.
- Molds are not linked to work orders, making it impossible to trace quality issues back to specific molds.
- Effective equipment capacity and OEE cannot be accurately counted, affecting injection-molding scheduling.
- First/last inspection items are manually recorded, making quality analysis and data retention difficult.
- Product consistency relies on personnel experience, with no real-time control of the production process.
Implementation Overview
N2.MES Manufacturing Execution System
Covers master data, work order and plan management, production management, process management, material management, quality management, personnel management, equipment management, data interfaces, and reporting and monitoring. The system supports injection-molding lines, automated lines, manual assembly lines, and integration with SPC, injection-molding machines, automatic weighing systems, and automated lines.
How the Solution Addresses Core User Needs
- Provides real-time feedback on key dynamic data such as plans, equipment status, personnel, abnormalities, and energy consumption.
- Issues process-level plans to each production line and workstation, with plan progress available for real-time inquiry and supervision.
- Digitalizes process control, enabling real-time collection of production data to monitor key process parameters and prevent incorrect or missing assembly.
- Builds a bidirectional traceability system with real-time statistical analysis of quality data and visualized feedback.
Implementation Benefits
- Improved quality stability with reduced defect rates
- Enhanced full-range quality traceability capability
- Improved logistics turnover efficiency
- Increased multidimensional data analysis and feedback capability
