Success Stories
u-APS has been successfully implemented across numerous semiconductor, PCB, panel, biomedical, and CNC manufacturers. It has helped customers significantly enhance overall productivity and on-time delivery performance, accelerate AI-driven smart transformation, and lead the manufacturing industry toward the next era of AI-powered smart factories.

TaiwanBio

The QC department at Taibao Biomedical handles a high volume of specimens and multiple cell-based assays every day, resulting in complex workflows and frequent operational changes. After implementing YouThought’s u-APS smart scheduling system, the factory successfully replaced manual scheduling with an AI optimization engine, achieving automated planning for orders, manpower, and equipment.
The system can instantly simulate rush-order scenarios, provide early warnings for delivery risks, and visualize bottlenecks through intuitive dashboards. Overall scheduling efficiency and accuracy have significantly improved, allowing high-value orders to be prioritized—supporting increased revenue and better capacity utilization.
The success of this deployment has been well recognized by the customer, and future expansion plans include extending u-APS to additional process areas to build a more efficient smart production environment.
World Advanced
Facing challenges such as multi-equipment workflows, complex process routes, and high delivery pressure in semiconductor manufacturing, Vanguard International Semiconductor (VIS) implemented YouThought’s smart scheduling system. Through the optimization engine, VIS successfully increased equipment utilization and improved on-time delivery performance.
The system dynamically analyzes bottleneck tools and capacity allocation, integrating the complex dispatching rules of an 8-inch semiconductor fab into an automated scheduling framework. After adoption, VIS achieved notable improvements in productivity, shorter production cycle times, enhanced production visibility, and more efficient cross-department collaboration.
This project demonstrates YouThought’s strong technical expertise and extensive experience in semiconductor smart manufacturing. By helping VIS build a stable and efficient smart factory environment, the implementation earned formal recognition from VIS’s General Manager, who awarded YouThought a certificate of appreciation.
BOE

BOE, a global leader in semiconductor display technologies, faces the challenges of multi-step processes, large-scale production, and stringent delivery requirements. YouThought supported BOE in deploying a smart scheduling and capacity optimization system to enhance three key areas: production efficiency, yield performance, and workforce effectiveness.
By combining real-time data analysis with dynamic scheduling logic, the system enables production lines to automatically identify optimal solutions even under highly complex process conditions. This improves equipment utilization, enhances process stability, and ensures both yield and delivery commitments are met.
The implementation significantly strengthened BOE’s smart manufacturing capabilities and contributed to its recognition as a World Economic Forum “Lighthouse Factory,” demonstrating the real-world value of intelligent decision-making in the display manufacturing industry.
GlobalFoundries

GlobalFoundries (GF), a global leader in semiconductor wafer manufacturing, specializes in high-performance and low-power process technologies. YouThought deployed the u-Efficiency smart performance system to help GF move beyond traditional KPI-based improvements that rely heavily on engineering methods.
With u-Efficiency, up to 30 KPIs can be defined for each equipment group across three dimensions—equipment, materials, and personnel—enabling data-driven monitoring and continuous productivity improvement.
The system focuses on variability indicators and applies structured management methods to stabilize processes and shorten cycle times.
Meanwhile, visual dashboards present real-time production insights, empowering planners to make more accurate and timely decisions.
This implementation successfully accelerated GF’s transition toward a more efficient and intelligent manufacturing model.
