Facing production challenges characterized by multiple product categories and frequent demand fluctuations, Lenovo Wuhan deployed the HuiPulse APS solution in three phases, building an integrated planning system from demand forecasting to intelligent scheduling. The solution breaks down barriers between planning, production, and procurement, scientifically plans capacity and materials based on sales forecasts, and ensures maximum material kitting through complex substitute material calculation and Gantt chart visual scheduling, improving response speed while reducing inventory.

Delivery Efficiency Increased by 30%: Accurate Delivery Date Commitment and Material Kitting Guarantee | Inventory Cost Reduced by 25%: Precise Material Supply, Lowering Inventory Occupancy

KODENSHI fully implemented the OEE equipment status monitoring system, TPM intelligent maintenance system, and Andon system, establishing a closed-loop intelligent exception management and control system encompassing "automatic alerting, intelligent dispatch, handling tracking, and data analysis." This effectively achieves efficient exception handling, precise identification of high-frequency anomalies, and continuous improvement, completely eliminating the "unclear accounting" in equipment management, driving continuous improvement in production efficiency, and earning customer recognition through rapid repurchase.

Exception Response Efficiency Increased by 13% | Downtime Reduced by Nearly 3,000 Hours/Year | OEE Increased by 12%

Since its first collaboration with Alps in 2022, Dalicap has continuously expanded its purchases and deepened its cooperation over the years. By successively launching Andon and data collection systems, the company has comprehensively promoted data collection and intelligent transformation of core production equipment. This has effectively solved the challenges of data collection for old and silent equipment, as well as the problem of automatic error prevention for process parameters, thereby continuously enhancing the enterprise's competitiveness through lightweight digitalization.

13% improvement in abnormal response efficiency | nearly 3,000 hours of downtime reduced per year | 12% increase in operational availability

Jieneng Heavy Industry advances its digital transformation construction process in a manner that is small, fast, light, and precise. By introducing the OEE equipment status monitoring system, it achieves accurate insight and analysis of production progress, equipment utilization rates, and downtime causes, thereby "prescribing the right remedy" to establish a comprehensive lean production implementation path. It also interfaces with the MES system, empowering production management with visualization, scientific rigor, and comprehensiveness.

Equipment utilization rate increased by 16% | Production efficiency improved by 10% | Changeover time reduced by 20%

FiberHome introduced the Andon system to shorten exception response and handling times through real-time anomaly alerts and responsible party notifications. By collecting and analyzing downtime cause data, it precisely identifies high-frequency anomalies and implements targeted improvements, reducing the frequency of abnormal downtime at the source, continuously lowering downtime losses, and driving production efficiency improvement.

Equipment Utilization Rate Increased by 16% | Abnormal Downtime Losses Reduced by 10% | Capacity Increased by 5%