万向钱潮股份公司——以精密转动世界，以智能赋予运动
Bearing Company—Building a Digital Workshop to Achieve High-Quality Development
2022-06-21
Build digital workshops and achieve high-quality development.
The bearing company is vigorously promoting the construction of automated, digital, and intelligent workshops. By establishing a comprehensive product ecosystem encompassing product R&D PLM, resource management ERP, process control SPC, and quality management QMS, the company has achieved all-round improvements in capabilities and quality across various modules—including personnel management, planning and scheduling, equipment management, material management, process quality management, rapid response, paperless on-site operations, monitoring of takt time and output, and energy management. This has enabled innovation in product development, manufacturing, and sales models. The company’s flagship product, the tapered roller bearing, currently holds the No. 1 market share in China’s automotive submarket.
The company adheres to the philosophy of "customer first, quality paramount," and continuously raises its quality management standards in alignment with OEM production needs. By building automated and digital workshops and perfecting intelligent connected production management systems, we have achieved collaborative manufacturing, enabling real-time monitoring of the production site, timely handling of abnormal issues, and rapid traceability of quality problems—thereby effectively enhancing product quality.
In terms of personnel management, different operational permissions are set up to clearly delineate responsibilities and authorities. On-site production status is monitored via terminals, making performance metrics such as output and pass rates immediately visible. In terms of production planning and scheduling, interconnected production data enable real-time tracking of production progress, allowing for rapid responses and timely adjustments to production plans. The transparency of information also significantly boosts the efficiency of data collection for various metrics, including labor hours, thereby reducing labor costs. In equipment management, different color-coded statuses indicate distinct equipment conditions—running, debugging, abnormal, or shut down—providing instant visibility into equipment states. Production rhythms are automatically recorded, offering a reliable and effective data foundation for equipment maintenance, OEE calculations, and improvements in equipment utilization. In materials management, real-time interconnection of inventory statuses provides an analytical basis and decision-making support for procurement, scheduling, shipping, and inventory control. In quality management, implementing online SPC reduces the workload for quality statistics by 90%, enhances the effectiveness of quality inspections, and prevents uninspected products from flowing into subsequent processes. In terms of rapid response, when production anomalies or equipment failures occur, on-site operators can send information directly to relevant persons in charge—such as quality, process, equipment, and logistics—without leaving their posts, thus minimizing time wasted on locating personnel and reducing potential losses caused by production delays. Standardized response procedures and a system that automatically identifies responsible parties ensure clearer accountability and greatly improve the timeliness of responses to production anomalies, boosting equipment utilization. Moreover, the system automatically tracks the types and timing of anomalies, response times, and resolution times, providing crucial data for subsequent problem analysis and improvement efforts.
The construction of automated and digital workshops is a systematic undertaking that permeates every stage of the production management process. The company continuously strengthens control and drives improvements across all aspects—people, machinery, materials, methods, and environment—to achieve high-quality, high-efficiency, and low-cost production and move toward the goal of becoming a “dark factory.”
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