Semiconductor Supply Chain Planning

Semiconductor plans commit wafer starts and outside capacity months before customers order, and short supply has to be shared out by rule. DemandLabs plans fab, assembly and test capacity on one model and allocates each shortage by customer tier and contract.

What Shapes Semiconductors Planning

Semiconductor planning commits scarce, expensive capacity against demand that swings with the cycle.

Cycle time

Wafers Start Long Before Orders

A wafer spends weeks in the fab and more in assembly and test, and yield sets how many good die it returns. Customers order on shorter lead times, so starts follow a forecast.

Outside capacity

Capacity Is Booked Quarters Ahead

Fabless companies, and many chipmakers with their own fabs, buy wafers from foundries and assembly and test from outside partners, often on capacity commitments made quarters ahead.

Shortage cycles

Orders Inflate When Supply Is Tight

When lead times stretch, customers order more than they need and from more than one source. When supply loosens, those orders are cut and inventory piles up across the channel.

Solutions for Semiconductors

The DemandLabs applications that fit semiconductors, and how each one handles the planning.

Wafer starts at your own fabs, foundry wafers and outside assembly and test plan in one finite-capacity solve. When output falls short, the split follows customer tier and contract, with a fill rate for each customer in the plan.

Explore supply planning

Die bank and finished goods buffers come from one multi-echelon solve, refreshed weekly from measured demand and lead-time variability, with the inventory each service target needs shown before you commit.

Explore inventory optimization

Sales teams enter customer forecasts as edits to one consensus forecast, and each edit is scored against the model baseline, so inflated requests show up in forecast value add.

Explore demand planning

The sources behind your wafer, substrate, gas and chemical suppliers are mapped where your data reaches, and single sources are flagged. A scenario with a foundry or test site offline shows the revenue at stake.

Explore supplier risk

How Semiconductors Planning Connects

Each wafer start links to the die bank, the finished parts and the customer commitments it serves.

Demand

Booking Forecast

  • Customer forecasts
  • Backlog
  • Design wins
Front End

Wafer Starts

  • Fab capacity
  • Foundry commitments
  • Cycle time
Back End

Assembly and Test

  • Die bank
  • Test capacity
  • Outside partners
Allocation

Shortage Rules

  • Customer tiers
  • Contract commitments
  • Fill rates
Finance

Margin and Commitments

  • Margin by product
  • Reserved capacity
  • Inventory value

Built for Semiconductors

Semiconductor planning commits capacity and inventory well ahead of the orders it serves.

Capacity Commitments Compared on Cash

Foundry and test commitments are compared as scenarios on P&L, cash and service in the S&OP review, before anyone signs.

One Model for S&OP and Starts

The capacity view in the S&OP review and the detailed wafer start plan come from the same model and the same constraints.

Die Bank as a Buffer Point

Holding stock as die lets the same wafers serve several package options, and the buffer there is sized from your own demand and lead-time history.

Inflated Requests Measured

Customer forecast changes entered by sales are scored against the model baseline each cycle, so padded requests are visible.

Semiconductors Planning FAQs

Can DemandLabs plan foundry and outside assembly capacity?

Foundries and outside assembly and test partners enter the solve as capacity next to your own fabs, each with its own lead times and minimum run sizes.

Who gets supply when output falls short?

Your allocation rules split short output by customer tier and contract, and account teams see each customer's fill rate before they confirm what can ship.

Can we test a fab or test site going offline?

A scenario takes a site or lane offline and shows the service and revenue impact, along with the products and customers that depend on it.

How long does implementation take?

Eight weeks to the first live cycle for one planning area, with a value review with your CFO in week 10.

See Fab and Test Capacity on One Plan

A 45-minute walkthrough on your own data.