
Context
A line / plant digital twin is set up to compare capacity, bottleneck and investment scenarios against measured plant data.

A plant or line digital twin fed by real-time field data; bottleneck and capacity scenario records.
Solution flow

A line / plant digital twin is set up to compare capacity, bottleneck and investment scenarios against measured plant data.

We feed a plant or line model with live measurements; software produces scenario comparisons and bottleneck projections. Model accuracy criteria and update frequency are written in the project definition.

Live plant model, scenario comparison report and capacity projection.

A line / plant digital twin is set up to compare capacity, bottleneck and investment scenarios against measured plant data.

We feed a plant or line model with live measurements; software produces scenario comparisons and bottleneck projections. Model accuracy criteria and update frequency are written in the project definition.

Live plant model, scenario comparison report and capacity projection.
Acceptance requires the model output to match actual production data from a known operating period within the defined accuracy criterion. Scenario comparisons are produced on the same baseline.
Requires access to live field measurement data, line or plant configuration information for the model, and approval of the accuracy criterion and update frequency.
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.