How to monitor the production status of multiple factories in real time? COANWIN breaks the "black box" of multi-factory production management by launching OEE equipment status monitoring and Andon systems. It monitors equipment start/stop status in real time and accurately displays unplanned downtime and causes for each machine via data dashboards, providing precise data support for managers to remotely supervise production and improve capacity effectively.

Equipment Utilization Rate Increased by 17% | Management Efficiency Improved by 30%: Real-Time Production Data View for Two Locations and Three Factories

To further improve equipment utilization and meet the growing demand for orders, JRSGS has launched an Andon and OEE equipment status monitoring system. By real-time statistical analysis of unplanned downtime duration and types, the system precisely optimizes high-frequency downtime categories, thereby effectively enhancing equipment utilization and overall output. This approach avoids blind, high-cost capacity expansion and supports business growth through low-cost digitalization.

Equipment utilization rate increased by 25%丨Operating costs decreased by 30%丨Unplanned downtime reduced by 12%

As a non-digital-native factory, Ningbo Electionics introduced data acquisition and Andon systems. Through its unique external acquisition technology, it achieved seamless data collection from old equipment. By enabling anomaly reporting via button presses, it significantly improved the efficiency of anomaly reporting. On the second day of system operation, it received over 30 anomaly events, which is 10 times the manual entry rate. These overall initiatives earned the factory the Group Digital Improvement Award.

Improve anomaly reporting efficiency by 60%: button-based reporting, avoiding inefficient manual entry丨Overall equipment effectiveness increased by 20%

SANY Group deploys a unified Manufacturing Execution System (MES) to deeply integrate digital technology with manufacturing technology, empowering the construction of its Lighthouse Factories and the transformation towards intelligent manufacturing. The system achieves refined, transparent, and intelligent management of the entire process—from process design, planning, and execution to distribution and task assignment—propelling the enterprise into a new stage of data-driven digital decision-making.

ALNB Ningbo Factory has implemented a digital warehouse management system by deeply integrating barcode/RFID technology with automation strategies, enabling rapid identification and dynamic tracking of thousands of materials. The project breaks down information silos and seamlessly integrates with ERP/MES systems, ensuring precise delivery of raw materials to the production line according to the production rhythm. This significantly enhances supply chain responsiveness and warehouse operational efficiency, laying a solid foundation for advancing toward smart warehousing.

Inventory Accuracy Increased to 99.5% 丨 Reduced Inventory Occupancy by 15-20%