
Context
Process parameter optimisation is set up to balance quality and energy targets on measured records.

Decision-support software fed by measurement data that proposes operating parameters against quality and energy targets.
Solution flow

Process parameter optimisation is set up to balance quality and energy targets on measured records.

We process process measurements together with quality and energy targets; software produces a proposed parameter set and expected-impact record. Targets, constraints and verification period are written in the project definition.

Proposed parameter set, impact record and verification summary.

Process parameter optimisation is set up to balance quality and energy targets on measured records.

We process process measurements together with quality and energy targets; software produces a proposed parameter set and expected-impact record. Targets, constraints and verification period are written in the project definition.

Proposed parameter set, impact record and verification summary.
The proposed parameter set is applied over a defined verification period; its impact on quality and energy is accepted by comparison against the pre-recommendation measurement.
Requires access to process, quality and energy measurement data, permission to change operating parameters in a controlled way, and a line or batch for verification.
How it works
Process parameter optimisation evaluates quality and energy targets together on measured records. The operating-point definition is written in the project scope.
Parameter sets are compared from measured records against quality and energy targets. Recommendations are accepted against impact over the defined verification period.
Process measurements are processed together with quality and energy targets; the software produces a proposed parameter set and an expected-impact record. Targets, constraints and the verification period are written in the project definition.
The proposed set is applied over the defined verification period; its impact on quality and energy is accepted by comparison against the pre-recommendation measurement. The gain is shown with numbers.
What comes next
Once the verified parameter set is stable, the process model and digital-twin scenarios feed on the same data.
Record chain
From obligation to measured record to produced output.
Production, traceability or quality record obligation
Shop-floor production and process records
Timestamped operational records from measurement
Industry contexts where this solution is often relevant.
Solutions often considered together.
We clarify a suitable scope together based on your site, industry and goals.