Today
Quality confirmed only after the batch is made
- Batch quality is confirmed after production and testing are complete.
- Off-spec batches are found too late to adjust.
- Raw-material and process effects are understood mainly from experience.
Same recipe, different batch.Catch it while it can still be adjusted.
In admixture, dry-mix mortar and repair compound production, an identical recipe does not guarantee an identical batch. INSUS predicts a batch's likely quality outcome from in-process data and recommends an adjustment for the operator while the batch is still running, instead of finding the problem only after testing.
01
Identical formulations can still miss specification.
02
Off-spec batches are often found only after testing.
03
The in-process data to catch drift is already logged.
The problem
The recipe is fixed.The inputs behind it are not.
Admixtures, dry-mix mortars and repair compounds follow a fixed recipe, but raw-material quality, dosing, mixing energy and process conditions still vary batch to batch. When small deviations compound, the batch misses specification, usually only after it is complete and tested. By then the options are reprocess, downgrade or scrap, and the same root-cause pattern can repeat before anyone connects it.
01Final test misses the target specification
02Raw-material lot, dosing and mixing records
03Deviation found only after the batch is complete
- 01Final test misses the target specification
- 02Raw-material lot, dosing and mixing records
- 03Deviation found only after the batch is complete
The shift
From discovering an off-spec batchto correcting one in progress.
The recipe and the final quality test stay where they are. What changes is using raw-material quality, dosing, mixing and process conditions to predict the outcome while the batch is still underway.
With INSUS
Outcome predicted while the batch is underway
- Likely quality outcome is predicted from in-process data before the batch finishes.
- A batch trending off-spec gets a recommended adjustment for operator review.
- Deviations linked to off-spec outcomes are tracked across batches.
How it works
From in-process datato an operator recommendation.
This fits OptiStudio as quality-prediction and decision support beside existing batch controls. Day one is advisory and read-only. The operator decides whether any recommended adjustment is applied.
Connect
Link batch control, raw-material and LIMS records
Read-only links to the batch control system or DCS, plant historian, raw-material quality and inventory records, and LIMS results for past batches of the same formulation.
Understand
Find which variables drive this formulation
Using the plant's own batch history, identify which in-process variables most strongly predict the final quality result for each formulation, with contribution views engineers can challenge.
Predict
Forecast the result before the batch is finished
While the batch is in progress, predict its likely final quality result (viscosity, solids, reactivity or strength depending on the product) from the in-process data available so far.
Advise
Propose an adjustment inside the safe range
For a batch trending off-specification, recommend an in-process adjustment to dosing, mixing or process conditions within the safe operating range. No write-back to the batch control system.
Verify
Compare every prediction with the final test
Log predictions and recommendations against the actual LIMS result. Refine the formulation-specific model and surface recurring deviations linked to off-spec outcomes.
Getting started
Start with one high-volumeformulation and its history.
For construction chemicals plants that already log batch control and LIMS data. Delivered through OptiStudio as quality prediction and operator decision support. Expert Services can help with data assessment and validation. Read-only day one. Each formulation needs its own model. Related published work on batch quality prediction exists for other cementitious products; results for your plant are established from your own data.
- What we need. Batch control or DCS data covering raw-material quality, dosing, mixing energy and time, and reaction or cure conditions, plus matching LIMS results across a range of lots and conditions for the target formulation.
- What you see first. A formulation-specific prediction model and an operator recommendation view running beside existing batch monitoring, with predicted versus actual outcomes for validation. No new hardware.
- How it grows. A pilot starts with one high-volume formulation. Each additional product is onboarded with its own calibrated model, because process sensitivity differs by formulation.
Related for construction chemicals
Other construction chemicalsstarting points
Batch consistency sits beside coating specification QA and REACH documentation on the same product lifecycle.
- 01Coating & Sealant Specification Field QACheck a specified coating or sealant against project conditions, then verify field application records against the specification.
- 02REACH Formulation Compliance IntelligenceOrganize formulations, test data and regulatory history into a searchable REACH-mapped inventory and flag documentation gaps.
- 03Construction Chemicals industryThe wider picture for admixture and specialty chemicals plants, compounding and process reliability.
Questions batch production teams ask us
Identical recipes can still produce off-spec batches because raw-material quality, dosing, mixing and process conditions vary. This use case predicts likely quality while the batch is still running so operators can review an adjustment before scrap or rework is the only option.
Batch control or DCS data covering raw-material quality, dosing, mixing energy and time, and reaction or cure conditions, plus matching LIMS results. History should span a range of lots and conditions for the target formulation. No new sensors.
No. Integration is read-only. Operators review and apply every recommended adjustment. Day one is advisory, not closed-loop control.
It predicts a batch's likely final quality result from in-process data, then can recommend dosing, mixing or process adjustments within the safe operating range when a batch is trending off-specification.
Yes. Process sensitivity differs by product, so each formulation is calibrated from that plant's own batch history.
Through OptiStudio as quality prediction and operator decision support. Expert Services can support data assessment, integration and validation with your production and quality teams.
Enough batch history across varied lots and conditions is needed to calibrate an accurate model. Adjustments can only be recommended while a batch is still in progress and within the safe operating range. The system does not address specification, field-application or regulatory documentation risk.
Batch manufacturing
Catch the batch before it becomes scrap.
Use your existing batch control and LIMS data to see quality risk while the batch is still adjustable. Operators keep the decision.