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Providing the Best Solutions for the Semiconductor & Panel Industries

Improve On-Time Delivery & Optimize Production Cycle

Challenges in the Semiconductor & Panel Industries

The semiconductor and panel manufacturing processes are highly complex, involving hundreds or even thousands of steps. Any delay in a single step may cause overall delivery postponement. Due to diverse and frequently changing orders, urgent and rush-order insertions occur often. Factories must meet strict on-time delivery and yield requirements within limited capacity.
Bottleneck operations have a huge impact on cycle time and delivery performance. Without accurate capacity planning and real-time scheduling adjustment, WIP accumulation, capacity waste, delivery delays, and cost increases become highly likely.

Additionally, factories often operate multiple fabs and production lines simultaneously. Cross-fab coordination and resource allocation make planning even more challenging. As market demand fluctuates rapidly and process technologies continue to evolve, maintaining maximum capacity utilization while securing delivery reliability has become the top priority of smart manufacturing transformation in the semiconductor industry.

─ Key Challenges Faced by Factories ─

Highly Complex Processes & Long Production Cycles

Manufacturing often involves thousands of operations with cycle times spanning weeks to months. With diverse product mixes and frequent changes, manual planning or basic tools cannot accurately predict delivery dates, optimize priorities, or manage line-change costs.

Bottleneck Resources with Intense Competition

Key equipment is limited and dispatching rules are complex. Multiple product lines compete for the same critical resources, making it difficult to meet multiple objectives simultaneously, resulting in low efficiency and unstable delivery performance.

Frequent Demand Fluctuations & Rush Orders

Urgent orders and rapid product mix changes require timely responses. Traditional planning methods cannot react quickly enough, causing schedules to fall behind market changes.

Unstable Production Lines & Cross-Fab Rework

Machine instability, yield variations, rework, and cross-fab backup tasks increase scheduling uncertainty and reduce productivity, negatively affecting factory performance.

─ YouThought’s Key Advantages ─

AI-Powered
Optimization Engine

The only solution in the industry successfully applying both Optimization Algorithms and Machine Learning. Accurately predicts cycle time and optimal dispatching for each product at each workstation, enabling automated planning that surpasses manual operations and significantly boosts productivity.

Highly Flexible Customization & Compatibility

With proprietary core technologies, YouThought provides extensive customization based on industry and factory requirements. Even factories with high manual operations and no MES can rapidly integrate existing production data and adopt the intelligent scheduling system seamlessly.

Professional IT & Manufacturing Team

The team combines IT expertise with real factory experience. With over 10 years of focus on smart manufacturing, the system has been successfully deployed across complex environments and validated by international customers.

High Product
Maturity

Backed by numerous successful cases, the system is reliable, stable, and adaptable to various manufacturing environments. Fast implementation ensures customers achieve measurable benefits in a short time.

─ Solutions ─

Seamless Integration with Existing Data │ Rapid Deployment of Smart Scheduling

Accurate Capacity Planning

Automatically builds capacity models using historical data without heavy data-maintenance effort. Generates daily dynamic cycle time and product-mix forecasts, enabling rapid mid- to long-term planning.

Dynamic Response to Order Changes

When facing rush orders, inserted orders, or schedule changes, the system quickly simulates scenarios and adjusts plans and resource allocation to maintain delivery reliability.

Optimized Bottleneck Efficiency

Powered by an AI optimization engine, the system balances upstream and downstream WIP, enhances bottleneck utilization, and increases overall throughput while ensuring delivery performance.

Dynamic Daily Targets for Each Workstation

Predicts cycle-time risks and generates daily production targets. Resources can be focused on critical or delayed products to minimize delivery risk.

Material & Cross-Line Optimization

Forecasts material demand and feed-in timing, reducing stock pressure. Supports multi-fab and multi-line coordination to produce optimal schedules under complex constraints.

Data-Driven Decision Support

Provides visualized production plans and scheduling dashboards, helping managers quickly understand capacity, bottlenecks, and delivery statuses for optimal decision-making.

─ Expected Benefits ─

Increase Capacity & Improve On-Time Delivery

Ensure bottleneck tools operate at maximum efficiency to unlock full capacity potential, achieve stable on-time delivery, reduce delay risks, and strengthen customer trust and long-term partnerships.

Reduce Inventory and Operational Costs

Accurately forecast material requirements and release timing to minimize material waiting and inventory pressure, reducing storage costs and improving capital efficiency.

Shorten Production

Cycle Time

Reduce bottleneck waiting and process inefficiencies to accelerate product flow and enhance overall production throughput.

Enhance Decision-Making and Operational Management

Provide visualized long-term planning and short-term scheduling insights to enable real-time visibility into capacity and delivery performance, supporting faster and more accurate decision-making.