Manufacturing
Quality and yield forecasting
Predict yield, scrap, rework, and defect pressure from process conditions, materials, equipment, and supplier variation.
Sound familiar?
- Yield loss found at final inspection, hours of production too late
- Material-lot problems traced only after the scrap bin fills
- Quality costs explained at month end instead of prevented
First-pass yield
first-pass yield · Live forecast
Driver
Process parameters
Driver
Material lot
Driver
Equipment state
Forecast horizon
Hours–8 weeks
Refresh cadence
Hourly or daily
Built for
Quality engineering · Process engineering
What you can predict
One forecast can answer several operational questions.
Connect inspection results with process parameters, material lots, equipment state, operators, environmental conditions, and product mix to anticipate quality losses.
First-pass yield
Defect and scrap volume
Rework demand
Quality cost
Questions teams need answered
- Which line is likely to lose yield?
- What process change explains defect growth?
- Which material lots create risk?
- How much good output will remain after quality loss?
Data that can improve the forecast
Start with the history you already have. Add internal or external drivers only when backtesting shows that they improve the forecast on held-out periods.
What-if planning
Test a change before committing to it.
Compare a proposed change with the current baseline. See the expected direction, timing, range, and the assumptions behind the result.
Use a different material lot
Compare yield and defect outcomes
Tighten a process setting
Estimate quality gain and throughput impact
First-pass yield
first-pass yield · Scenario comparison
What if
Use a different material lot?
Driver
Process parameters
Driver
Material lot
Driver
Equipment state
From forecast to action
Keep the people making the decision in the loop.
01 · MONITOR
Forecast continuously
Refresh first-pass yield on a hourly or daily cadence as new data arrives.
02 · NOTIFY
Alert on meaningful changes
- Yield is forecast below specification
- Defect volume exceeds inspection capacity
03 · DECIDE
Put the result to work
Build a quality and yield forecast with your data.
Start with sample data, connect your own history, or talk with us about your target, horizon, and production requirements.