The most advanced solution for wafer fab scheduling

Built in collaboration with a high-volume 200mm fab, Flexciton’s technology is the ultimate solution to a complex scheduling problem of a dynamic wafer fab environment.



Average cycle time reduction across 11 toolsets

Significant batching improvement at the deposition tool with a 10% increase in wafer moves.





Photolithography area: increased number of wafer moves achieved in parallel with a 10% reduction in reticle moves.

Why choose Flexciton's scheduler?

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Flexciton is the only mathematical optimization-based scheduling software for wafer fabs. The ability to customise your objectives means that the scheduler will automatically optimize to your fab's KPIs, whether you target cost, quality or delivery.

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By utilizing cloud computing, fully  optimized schedules are delivered fast and refreshed every 5 minutes. The system scales up and down easily – whether your scheduling problem gets harder, or more equipment is added in your fab.

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Unlike commonly used scheduling systems, Flexciton’s scheduler does not require setting up or maintaining ‘if-then’ rules. Our optimization algorithms perform consistently in any situation, automatically adjusting to ever-changing fab environment.

How our solution works

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The diagram above gives an overview of how our solution functions with the rest of your fab. We make release decisions that decide the optimal time to start lots or release them from buffers. Our product then predicts potential dynamic bottlenecks and re-prioritises WIP to balance the line and send the right lots to the right toolset. Our local toolset optimization then predicts future arrivals and improves toolset KPIs such as throughput, queue time and reticle moves.

Dedicated deployment

The only mathematical optimization-based scheduling software for wafer fabs. It directly optimizes production KPIs to meet a fab objectives around cost, quality and delivery.

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See our scheduler in action

Useful resources:

White Paper

Optimal schedules delivered every 5 minutes to help increase fab efficiency by 10%

Case Study

45% improvement in cycle time on average over simulation models when put into practice

Technical Paper

Traditional heuristic-based scheduling vs. Flexciton's hybrid optimization approach