A cement plant rarely runs out of raw material. What it runs out of is certainty that today's blend will still meet spec after the mill, the silo, and the weather all have their say. Most blending decisions are made from a spreadsheet that was accurate yesterday, which is why so many plants carry a quiet habit of over-dosing clinker just to stay safe. That margin of safety is also a margin of wasted cost, and it compounds across every batch run in a year. Walk through a blend scenario built from your own mix data.
Blend to Spec, Not to Habit
iFactory AI reads live lab results and material availability to recommend a blend ratio that holds quality constraints while using less of your most expensive input.
The Real Cost of a Conservative Blend
Every percentage point of extra clinker added "just in case" is a direct hit to margin, repeated on every batch, every shift, every day.
Blend ratios set once during commissioning rarely get revisited as raw material quality drifts, and manual recalculation only happens after a deviation already shows up in the lab. iFactory AI keeps the ratio current against live inputs instead of last quarter's assumptions.
What Goes Into the Recommendation
A blend ratio is only as good as the inputs behind it. iFactory AI pulls from four sources before it suggests a change.
| Input | Why It Matters | Update Frequency |
|---|---|---|
| Lab Results | Chemistry and fineness of each material lot | Per sample |
| Product Specification | Strength, setting time, and fineness targets per product | Fixed per SKU |
| Material Availability | What is actually in silo, not what is on order | Continuous |
| Batch History | How past ratios performed against the same targets | Rolling |
See a Blend Scenario From Your Own Silo Data
Bring your current product mix and iFactory AI will show where the ratio has room to move without risking spec.
Constraints That Cannot Be Skipped
An optimized ratio is only useful if it still respects every hard limit the product carries.
Strength Floor
Minimum 28-day compressive strength the blend must clear, with no exceptions for cost savings.
Setting Time Window
Initial and final set must fall inside the range the product spec allows.
Fineness Target
Blaine fineness held within tolerance to protect early strength development.
Material Ceiling
Substitute material percentage capped by standard compliance, not just availability.
Comparing Scenarios Before You Commit
Before any ratio change reaches the batching system, it sits side by side with the current approved blend.
Getting It Running on Your Plant
iFactory AI arrives pre-configured for cement blending, connecting to your lab system and batching controls.
Frequently Asked Questions
Does the system ever change a blend ratio automatically?
No, every proposed ratio change requires sign-off from a quality lead before it reaches the batching system. The system recommends and compares scenarios, it does not act on its own.
How does it handle a sudden change in raw material quality?
New lab results feed into the model as soon as they are logged, so a shift in incoming material chemistry is reflected in the next scenario comparison rather than waiting for a scheduled review.
Can this work across multiple product specifications at once?
Yes, each product specification is tracked separately with its own constraint set, so a ratio recommended for one SKU is checked only against that product's own targets. Support can help map your full product list during setup.
What happens if material availability does not support the ideal ratio?
The recommendation adjusts to what is actually in silo rather than proposing a ratio the plant cannot physically batch, flagging any gap against the ideal mix.
Is historical batch data required before this adds value?
Some history helps calibrate constraint margins faster, but the system can begin recommending scenarios from current lab data and product specs alone. Ask what your own data would need in a walkthrough.
Stop Blending on Habit
iFactory AI recommends a blend ratio that holds every quality constraint while trimming cost. Book a walkthrough with your own mix data.
