u-Optimizer
Advanced Production Scheduling
u-Optimizer is an advanced scheduling solution that integrates AI technology with genetic algorithms.
Traditional rule-based scheduling struggles to handle complex constraints and cannot achieve optimal efficiency, often resulting in bottleneck idle time, excessive WIP buildup, or delayed delivery.
u-Optimizer considers static and dynamic production constraints, Q-time rules, product priorities, and the goals of upstream and downstream stations. With both global and local scheduling mechanisms, the system automatically generates optimized schedules based on real-time production conditions.
u-Optimizer has been successfully deployed in multiple wafer fabs and display fabs, significantly improving bottleneck productivity and capacity utilization. Compared with traditional simulation or rule-based approaches, u-Optimizer delivers fully optimized scheduling results that satisfy complex process constraints across multiple objectives—making it the ideal scheduling solution as advanced processes continue to grow in complexity.
─ Key Advantages ─
Fast Scheduling Optimization
Starting from bottleneck loading conditions, the system integrates both upstream and downstream considerations.It automatically generates optimized schedules for each station—while preventing over Q-time—to enhance production efficiency.
Minimal System Maintenance Workload
Integrates MES data and uses historical production data to learn automatically.
Beyond adjusting weight settings for different planning modes, no manual capacity maintenance or complex rule development is required.
Balanced, Practical Multi-Objective Scheduling
Supports weighted objectives to balance productivity, delivery performance, yield, setup costs, material handling, and more—ensuring no single goal compromises overall performance.
Multi-Tier Scheduling Architecture
The only multi-layer scheduling system in the industry.Global scheduling provides pull lists for non-bottleneck areas to support the local scheduling needs of bottleneck stations—resulting in higher overall manufacturing efficiency.
Benefits
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Improve overall productivity and on-time delivery
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Increase yield and reduce over Q-time issues
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Minimize setup and material handling costs
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Maintain stable high-performance operations with reduced variability
Complex Dispatching Rules Are Hard to Execute
Rule-Based Scheduling Produces Limited Results
Low Capacity Utilization
Factories operate in dynamic, multi-objective environments. Traditional rule-based or manual dispatching cannot handle them effectively.
Rule-based systems cannot cover complex, multi-objective production constraints.They require heavy maintenance and constant rule updates to reflect changing factory conditions.
Without optimization, bottlenecks sit idle and non-bottlenecks accumulate WIP—wasting resources and reducing throughput.
Challenging
Q-Time Control
Inconsistent Scheduling Quality
Conflicting Upstream & Downstream Objectives
Poor Q-time loop management leads to yield loss from overdue lots or reduced capacity if control is too strict.
Manual scheduling varies by operator, and rule-based outputs are unpredictable—creating production risks.
Without global coordination, optimizing a single station may harm overall flow and lead to imbalanced capacity distribution.
─ Solutions ─
1
Comprehensive
Modules
Leveraging genetic algorithms to replace manual operations, the system integrates all complex production constraints and dispatching rules of semiconductor and panel factories into functional modules, enabling dynamic multi-objective decision-making.
2
Beyond Rule-Based Scheduling
Scheduling no longer relies on tedious manual rule settings and maintenance. The optimization engine accelerates the transition to smart manufacturing, dynamically optimizing bottleneck workstations and significantly improving line utilization and order fulfillment rates.
3
Enhanced
Yield Control
The system integrates equipment yield data to ensure critical products are assigned to high-yield tools, while implementing Q-Time, Pi-Run, and other yield-control mechanisms to increase yield and maintain stable delivery performance.
4
Upstream–Downstream Alignment
Balancing global and local goals, the system aligns scheduling needs across equipment groups to ensure upstream–downstream consistency and achieve overall capacity optimization.
5
Proven in
Leading Fabs
Successfully deployed and validated in leading semiconductor and panel fabs, the solution has demonstrated its capability to address complex dispatching challenges in high-end manufacturing processes.
6
High Customization Flexibility
Backed by a professional team proficient in both AI technologies and manufacturing domain knowledge, the system provides customized dispatching rules and production constraints tailored to each unique production line, effectively meeting operational requirements.