Optimize WIP flow over the next 4 weeks with Flex Planner
Align production plans with real-world capacity and customer due dates — autonomously. Flex Planner erases manual planning and turns complexity into control for reliable delivery across the fab.
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Deliver on time, every time
Flex Planner aligns WIP flows to customer due dates, helping you consistently meet on-time delivery targets. Visual dashboards highlight early, on-time, and late lots — providing clear visibility into timing performance across the fab.

Streamline your morning meetings
The Spotlight feature gives planners and fab leaders high-impact recommendations — from rescheduling maintenance to qualifying recipes — to prevent issues before they happen and turn morning meetings into efficient planning sessions.

Generate wafer start plans in minutes
Replace days of manual planning with detailed, constraint-aware wafer start plans — delivered autonomously and updated every 45 minutes. Flex Planner translates ERP targets into daily actions — no spreadsheets, no firefighting, no delay.

Guaranteed KPI improvements
Flexciton’s Autonomous Technology empowers chip manufacturers to maximise production performance with far greater confidence. By replacing outdated, reactive systems with intelligent, real time data-driven decision-making, we deliver optimised plans and schedules—enabling fabs to run with greater precision and autonomy.
Reduction in cycle time at any given WIP level
Reduction in standard deviation from target velocity
The autonomous advantage
The fab floor doesn’t stand still, so it’s time to look beyond static approaches to production planning. See how Flex Planner stacks up against static planning approaches.
Dynamic, data-driven optimisation updated every 45 minutes using real fab conditions.
Based on fixed, manual assumptions and static models.
With Flex Planner, start plans are automated and updated every 45 minutes - removing the need for tedious manual work.
Labour-intensive; starts planning takes days and multiple people with continuous firefighting.
Automatically adapts to disruptions and shifting bottlenecks.
Requires manual intervention and replanning when issues arise.
Static capacity models for starts and production targets don’t integrate directly with toolset schedulers.
Static capacity models for starts and production targets don’t integrate directly with toolset schedulers.