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ORELSIS
Solution

Digital twin

A digital twin is a virtual copy of a machine, line or plant that is fed with real-time data. ORELSIS builds digital twins that combine field data with physical and statistical models for monitoring, simulation and scenario analysis. You can test capacity, layout or parameter changes before applying them on the floor.

Challenge

Changes to line layout, capacity or process parameters are often made by trial and error on the floor. This risks downtime and scrap. The current state of the plant cannot be seen on a single screen either.

Capabilities

Test changes on a live model of your plant first

01

Live monitoring

Shows equipment and line status on the virtual model in real time.

02

Simulation

Simulates process and material flow to reveal bottlenecks before they appear on the floor.

03

Scenario analysis

Compares the impact of different parameters, shifts and product mixes.

04

Predictive models

Predicts equipment behaviour and quality outcomes with models that learn from historical data.

05

Virtual commissioning

Tests new lines and robotic cells in a virtual environment before installation.

06

System integration

Connects the twin to MES, maintenance and quality systems for a single operational view.

Our approach

How we deliver it

  1. 01

    Define the scope

    We clarify which equipment, line or process the twin will represent and which questions it must answer.

  2. 02

    Build the model

    We describe equipment behaviour by combining physical, statistical and data-driven models.

  3. 03

    Feed it live data

    We connect sensor, PLC and production data to the twin and calibrate the model against real measurements.

  4. 04

    Run scenarios

    We simulate capacity, parameter and layout scenarios and report results to decision-makers.

FAQ

Frequently asked questions

A simulation usually runs on fixed assumptions. A digital twin is continuously updated with real-time field data. So it both shows the current state and runs scenarios on up-to-date data.

Usually not. We recommend starting with one critical machine or line. Once the model proves its value, it can be extended across the plant.

It needs equipment parameters, sensor readings, production records and, where relevant, layout information. During discovery we assess your existing data and identify any gaps.

Let's digitalise your operations together.

In a 30-minute call, we'll listen to your needs and show you the right OREL products live.