Yuxing Fastener: Pull-Before-Push-After at Bottleneck Processes, Continuously Breaking Through Capacity Constraints
By introducing the HuiPulse APS solution, Yuxing Fastener achieved effective integration of bottleneck pull-based scheduling and multi-strategy rules across processes. With bottleneck capacity maximization as the core, the system builds a globally visible, highly automated planning system through rolling daily plans and multi-version simulation optimization, significantly improving plan executability and operational efficiency, laying a solid foundation for the construction of a dark factory.
Scheduling Efficiency Increased by 90%: 100,000 Process Routing Cards Completed in 20 Minutes
Production Efficiency Increased by 30%: Different Scheduling Strategies for Different Processes, Integrating Multiple Rules
Billion Technology: Faster Delivery for the Same Orders, Higher Capacity for the Same Delivery Dates
Facing stringent delivery requirements in high-end fields such as aerospace and medical, Billion Technology deployed HuiPulse APS to build an optimal planning system based on dynamic simulation and multi-version optimization, achieving accurate delivery date calculation, scientific order evaluation, and finite capacity scheduling. Through end-to-end full-process visualization management, it significantly improved delivery reliability, helping the enterprise continuously expand growth opportunities.
Scheduling Efficiency Increased by 80%: 1,000 Orders Scheduled Simultaneously in 2 Minutes | Production Cycle Shortened by 20%: Batch Orders Optimized via Inter-Process Flow Models
Xonao Industry: Material Kitting Rate Increased by 35% – Precise Material Supply Is the Biggest Cost Reduction and Efficiency Improvement
To further enhance supply chain efficiency and performance, Xonao Industry introduced the HuiPulse APS solution, which takes "pre-scheduling" as the entry point and connects the supply chain links of "production, procurement, inventory, and sales." The solution enables intelligent generation of optimal production paths and forward calculation of material requirements. While fully ensuring that materials are delivered precisely on time, in quantity, and on demand for multiple SKUs, it achieves efficient production and delivery while reducing inventory.
Material Kitting Rate Increased by 35%: Precise Matching of Materials with Production, Avoiding Shortages and Waiting | Delivery Efficiency Increased by 25%: Efficient Collaboration Across All Links, Enabling Flexible Production
Dalicap: Even Old Equipment Can Be Intelligent! Continuous Repurchases to Deepen Cooperation
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: Operational Rate Increased by 16%, the "Digital" Transformation of a Specialized, Refined, and Innovative "Little Giant"
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%