aPlanner is in MVP validation (Oct–Dec 2026). Figures are design targets. Join the 2027 Korea pilot →
SEMICONDUCTOR

aPlanner for Wafer Fabrication

Navigate technology transitions with predictive planning intelligence built for semiconductor complexity.

Gantt — Plan A published: 5 orders, now-line, milestones
DESIGN TARGETS — NOT CUSTOMER RESULTS
TARGET
$80-160M
estimated opportunity per large fab
TARGET
+5-10%
capacity utilization improvement
TARGET
-70%
planning cycle time reduction

Target figures are design targets from simulation on synthetic fab data. aPlanner has no customer deployments yet; first pilot results are expected in 2027.

Semiconductor Foundry Market

Foundry Market (2025)
$130B+
Total Semiconductor Market
$580B+
Growth Drivers
AI chips, automotive, IoT
Industry landscape
TSMC
Samsung Foundry
GlobalFoundries
UMC
SMIC

Wafer fabrication demands planning tools built for semiconductor-grade complexity

Semiconductor fabrication involves hundreds of process steps, multi-billion dollar capital investments, and technology transitions that redefine capacity every few years. Traditional planning tools were never designed for this level of complexity.

Weeks to months from wafer start to die out
Multi-step processes with 500+ operations create extended manufacturing cycles. Visibility diminishes rapidly.
Complex ramps from node to node
7nm to 5nm to 3nm migrations require equipment upgrades, process development, and yield learning simultaneously.
Capital-intensive operations
$20B+ fab investments mean every percentage point of utilization represents millions in returns.
New processes require yield ramp
New nodes start at 30-50% yield and must reach 90%+. Learning curves vary by product and design complexity.
Logic, memory, analog on the same fab
Different product types have different requirements, cycle times, and constraint profiles.

How aPlanner addresses wafer fab challenges

Purpose-built for semiconductor manufacturing, aPlanner brings node-aware intelligence to every planning decision — from capacity allocation to yield-integrated scheduling.

Node-aware capacity planning

Model capacity by technology node, with automatic reallocation as products migrate between nodes. Simulate node transitions with yield learning curves built into the model.

WIP optimization

Balance WIP levels across the fab to maximize throughput while minimizing cycle time variability. aPlanner identifies bottlenecks and recommends WIP targets by operation.

Equipment utilization optimization

Scheduling that maximizes utilization of critical tools while respecting maintenance windows, qualification requirements, and priority orders.

Yield ramp modeling

Incorporate yield learning curves into planning, with scenario analysis for optimistic and pessimistic ramp assumptions. Plan for actual output at each stage of the yield journey.

Estimated opportunity for wafer fabrication

Design targets derived from published industry benchmarks and simulation on synthetic data. aPlanner has no deployments in this segment yet.

Value DriverTarget impactEstimated annual value (Large Fab)
Capacity Utilization+5-10%$50-100M
WIP Reduction-15-25%$10-20M
Cycle Time Improvement-10-20%$20-40M
Planning Efficiency-70% time$2-4M
TARGET
$80-160M
Estimated opportunity per large fab
TARGET
+5-10%
Capacity Utilization Improvement Worth $50-100M

Target figures are design targets from simulation on synthetic fab data. aPlanner has no customer deployments yet; first pilot results are expected in 2027.

Ready to optimize your wafer fab planning?

See how aPlanner can deliver node-aware capacity planning, WIP optimization, and yield-integrated scheduling for your semiconductor fabrication operations.