June 19, 2025, Kirisun officially launched the Phase II of its IMS-WMES system—marking a major step forward in the company’s digital transformation journey and intelligent manufacturing strategy. This initiative reinforces Kirisun’s commitment to building a world-class smart factory and setting new benchmarks in digital quality management.
Driving Collaboration, Advancing Strategy
At the kick-off meeting, Mr. Qiao Zeng, General Manager of the Supply Chain Center, emphasized the strategic importance of the Phase II project in strengthening competitiveness and ensuring sustainable growth. The project team outlined detailed implementation plans and goals, with clear cross-department responsibilities to ensure efficient execution.
Department heads responded proactively, expressing their strong sense of responsibility and commitment to fully support the project’s implementation. They pledged to strengthen cross-functional collaboration, maintain strict control over quality and progress, and ensure successful project delivery. The kick-off meeting unified consensus across teams and laid a solid foundation for the project's success.
Empowering Transformation through Technology
Phase II focuses on three core modules:
l End-to-End Data Integration: Real-time collection and analysis of production data from raw material to finished goods, enabling smarter decision-making.
l Intelligent TPM Equipment Management: IoT-powered monitoring and predictive maintenance to boost equipment efficiency and lifespan.
l Digital QMS for Quality Excellence: Real-time quality data tracking across the production lifecycle, enabling a shift from reactive correction to proactive prevention.
Looking Ahead
Phase II represents more than a system upgrade—it’s a leap toward higher productivity, optimized equipment utilization, and enhanced product quality. This digital foundation will also support Kirisun’s future global manufacturing expansion.
With IMS-WMES at its core, Kirisun is redefining smart manufacturing excellence—driven by innovation, powered by data.