Boost your fab efficiency faster with less workload
Switch to autonomous scheduling.
Our AI-driven scheduling software captures all your fab’s constraints, delivers optimal scheduling decisions, and increases efficiency without additional resources.
Guaranteed KPI improvements
Flexciton developed Autonomous Scheduling Technology (AST) to empower chip manufacturers to consistently achieve remarkable production results, guaranteed. Traditional schedulers often require a reactive approach of trial and error to achieve KPI improvements. With AST, manufacturers can overcome these challenges to maintain high fab performance confidently and autonomously.
Get consistent KPI improvements
Inconsistent production KPIs impact your fab output and business performance. Our AI-driven scheduling technology ensures consistent throughput improvements whilst reducing cycle times and variability. Unlike legacy schedulers, Flexciton does not require setting up and tuning countless parameters to maintain required performance. By leveraging advanced mathematical optimization, our technology enables optimal decision-making at both tool and fab-wide levels, ensuring your fab’s objectives are met consistently.
Navigate trade-offs with confidence
As fab management’s priorities fluctuate with market conditions, engineers are tasked to configure production schedules to deliver on these dynamic goals. With so many conflicting objectives, this is no easy task. Flexciton allows engineers to visualize and comprehend complex trade-offs between different KPI settings, empowering them to make informed decisions and efficiently manage the delicate balance of cost, quality, and delivery.
Streamline operations, reduce workload
With intelligent algorithms and a closed-loop system, our production schedules always reflect the latest state of your fab—automatically adjusting to shop floor changes like tool downs and planned maintenance. Our pioneering Autonomous Scheduling Technology (AST) eliminates the need for engineers to set up and maintain if-then rules. By autonomously providing optimized schedules, it reduces pressure on highly qualified employees and removes reliance on tribal knowledge.
With Seagate adopting Flexciton and its advanced manufacturing scheduling system, we have been able to improve our predictability of delivery by meeting weekly customer commits. With a lengthy cycle time build, this predictability and linearity has been key to enabling the successful delivery and execution of meeting commits consistently.
Mark Patton
Director of Manufacturing, Seagate Technology
I’m pleased our decision to partner with Flexciton to improve our scheduling decision making. Our implementation has worked out even better than we hoped and they are constantly advancing the product. Their customer team is wonderful to work with.
Jay Maguire
Industrial Engineer, Renesas Electronics
Introducing Flex Apps
Discover a suite of AI-powered scheduling applications that
can help your wafer fab transform decision-making, workflows, labour efficiency and production KPIs.
Flex Local: AI-driven toolset scheduling
Flex Global: Bottleneck avoidance optimizer
Runway: The fab in the palm of your hand
In the loop
Discover how Renesas Electronics and Seagate Technology harnessed autonomous scheduling to tackle the complex challenge of efficient batching.
This technical paper provides a comprehensive overview of results from benchmark studies performed for Seagate Technology, where our solution was applied to metrology toolset scheduling.
Blog and News
Staying ahead in smart manufacturing technologies has become paramount for global competitiveness. This topic was the focal point of the recent panel discussion webinar hosted by Flexciton.
Innovate UK, part of UK Research and Innovation, has invested in Flexciton and Seagate Technology's production planning project to help improve UK semiconductor manufacturing.
The semiconductor industry is set to receive $1tn in investment over the next six years, driven by AI and advanced technologies, with over 100 new wafer fabs expected. However, labor shortages continue to pose a challenge, pushing the need for autonomous wafer fabs to ensure continued growth.
