GAC Honda: Pioneering Excellence in Intelligent Manufacturing

Challenge

After years of development, GAC Honda is determined to enhance workshop equipment control for better response to sudden processing anomalies. There's an urgent need to improve proactive monitoring by introducing predictive maintenance, ensuring optimal production to meet demand. Additionally, to minimize management waste and enhance efficiency and quality, there is a focus on further optimizing tool management to boost competitiveness in the QCD industry.

Solutions

GAC Honda collaborates with ROOTCLOUD for smart factory development, achieving seamless connectivity in their engine plant through an industrial IoT platform. This collaboration enhances equipment efficiency and precision, leading to significant improvements in quality, cost, and delivery. The implementation of ROOTCLOUD's IoT platform notably elevates GAC Honda's performance across key operational areas.

• AI Prediction and Maintenance Optimization

  AI intelligent predictive analysis for WE2 SR welding stations, AF2 predictive maintenance. Utilizing modeling analysis to provide timely and effective references for high-precision, efficient equipment operation.

• Intelligent Factory Construction and Full Connectivity

  Full connectivity is achieved in the engine factory through the ROOTCLOUD Industrial IoT Platform. Utilizing 5G, machine vision, big data, cloud computing, etc., to establish full connectivity and data-driven operations for equipment, production lines, and the entire factory.

Benefits

• Optimized Operations

  The integration of the ROOTCLOUD Industrial loT Platform at GAC Honda Plant connects all elements of the automotive manufacturing process, providing meticulous calculations to offer the most optimal solutions for business operations. The integrated crop rate of equipment in the assembly shop reached 99.1%.

• Data-Driven Precision

  The intelligent transformation covers four major workshops with over 300 devices on the platform. Utilizing 5G, machine vision, big data, and cloud computing, it digitizes production equipment data, offering timely and effective references through modeling analysis for high-precision and efficient equipment operation.

• Preventive Maintenance and Cost Savings

  Through IoT-enabled frequent vibration and load detection, equipment status visualization and real-time intelligent calculations prevent defective products, reducing batch scrap by over 50%. Tool and equipment spare parts save 15,000 USD per year, with tool management optimizing replacements based on wear status, resulting in a 5% increase in lifespan.