EKS InTec
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Engineering expertise
with industrial focus

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EKS InTec Automation, simulation and engineering expertise.

Digital Factory | Training

Practise on the plant without stopping it.

The simulation model built for virtual commissioning does not have to be archived after start-up. It becomes a training environment in which operators, maintenance and setup staff learn the real cell — including areas they can barely reach in reality.

Training on the digital twin

The same cell, without the risk.

01Work steps and operating sequences
02Hard-to-access areas of the cell
03Faults, restart and recovery
04Repetition until the routine sits

Training on the digital twin

Learn the cell before the cell is available.

Training normally competes with production: the line has to stop, a trainer has to be present and mistakes have real consequences. On the virtual cell, the same work steps can be shown, tried and repeated as often as necessary — parallel to production, before start-up, or during a shutdown that has not happened yet.

01 Reuse the existing simulation model
02 Define the relevant training scenarios
03 Run the sequences with the team
04 Repeat until the procedure is routine

The cell as a place to make mistakes safely.

The training environment uses the same model, the same sequences and the same control behavior as the real system. Trainees move through the cell, follow the process, trigger faults and practise the correct reaction — with no risk to people, parts or equipment, and without a single minute of production loss.

Why train virtually

Show what the real cell keeps hidden.

In a running plant, many things are difficult to teach. Areas behind fences, inside enclosures or between stations are hard to see and can only be entered under strict conditions. Rare fault situations cannot be produced on demand, and when they finally occur, there is no time to explain them.

The virtual cell removes these limitations. Views can be opened up, guards can be looked through, sequences can be slowed down, and the situation that happens twice a year can be started whenever it is needed for training.

01Access to areas that are restricted or hard to reach in reality
02Rare faults and exceptional situations on demand
03Unlimited repetition without production loss

What teams gain

People arrive at the cell already knowing what to do.

When a technician has to enter a confined area of the plant, every step should already be familiar: where to stand, what to switch off, in which order to work and how to bring the system back. Virtual training builds that routine before the first real intervention.

01

Confident interventions

Work steps in tight or restricted areas are practised before anyone physically enters them.

02

Shorter downtimes

Faults are recognized faster and the restart procedure is already known when it counts.

03

Training before delivery

Teams can be qualified while the plant is still being built or installed on site.

04

Consistent qualification

Every shift and every new employee learns the same defined procedure in the same environment.

Training scenarios

Choose what the team needs to be able to do.

Scenarios are defined together with your team and built from the existing model. Select a topic to see what a session typically covers.

01 · Normal operation

Understand how the cell is meant to run.

Trainees follow a complete production cycle, see how stations depend on each other and learn which operator actions the sequence expects at which moment.

  • Complete cycle from part infeed to outfeed
  • Operating modes and mode-dependent functions
  • Status displays, releases and handshakes
  • Effects of an operator action on the whole cell

What can be trained

From routine handling to the situation nobody has seen yet.

The training content follows the real work of the people involved. What matters is not a general introduction to automation, but the specific procedures of this cell, this process and this equipment.

01

Operating sequences

Start, stop, mode changes, part handling and the daily routine of running the cell.

02

Hard-to-access areas

Positions inside enclosures, behind guards or between stations that are difficult to see or enter in reality.

03

Fault diagnosis

Reading messages, locating the cause and understanding what the system is actually reporting.

04

Restart and recovery

Removing parts, re-referencing axes and bringing the cell back to automatic mode in the correct order.

05

Setup and changeover

Product changes, gripper or fixture changes and the checks required before production continues.

06

Robot handling

Jogging, safe positions, program selection and coordination with the surrounding equipment.

07

Maintenance sequences

Step order, required states of the machine and the interaction between mechanics, electrics and control.

08

New employees and shift handover

A repeatable introduction to the cell that does not depend on who happens to be available to explain it.

One model, several uses

The training environment already exists.

Building a training system from scratch is expensive. Building it from a model that was already created for simulation and virtual commissioning is not — the geometry, kinematics, device behavior and control logic are there, validated against the real plant.

RF::YAMS provides the dynamic environment in which the cell reacts like the real system, so training shows genuine plant behavior instead of a scripted animation.

What makes it work

The tools behind the training environment.

Virtual training is not a separate product. It reuses the RF::SUITE components that already represent your plant, extended by the scenarios and views a training session needs.

Dynamic 3D environment

RF::YAMS

Runs the cell as a reacting model, so trainees see real sequences, states and consequences instead of a fixed animation.

Explore RF::YAMS
Human model

RF::emaHM

Represents the person in the process, including reachability, working postures and the manual steps a task actually requires.

See the RF::SUITE overview
Robot behavior

RF::RobSim

Brings robot programs and motion into the session so cell handling can be practised with realistic robot reactions.

Explore RF::RobSim
Device behavior

RF::ViPer

Supplies sensor and actuator behavior, including the fault states that make diagnosis and recovery training possible.

Explore RF::ViPer
Control connection

RF::FSBox

Connects real or virtual controllers so trainees work with the original HMI, messages and control logic of their plant.

Explore RF::FSBox
Model maintenance

RF::VPM Tool

Keeps model and project data aligned with the as-built plant, so training always reflects the current system.

Explore RF::VPM Tool

How EKS InTec supports you

From an existing model to a usable training environment.

Depending on what already exists, we prepare the model, build the scenarios, run the sessions with your team or enable your own trainers to work with the environment independently.

01

Prepare the training model

The existing simulation or commissioning model is adapted for training use, including views, states and starting conditions.

02

Build the scenarios

Together with your specialists we define the situations that matter: procedures, faults, interventions and the expected reaction.

03

Run training sessions

Sessions are held with operators, maintenance and setup staff, on site or remotely, before or during plant operation.

04

Enable your own trainers

Your team learns to run, adjust and extend the environment so future training does not depend on external support.

05

Keep the model current

After plant changes and retrofits the model is updated so trainees never practise on an outdated system.

06

Model creation without VIBN

If no simulation model exists, the relevant part of the plant can be modelled specifically for training purposes.

Who trains on the twin

Different roles, the same cell.

Production

Machine operators

Daily handling, operating modes, part supply and the correct reaction when the cell stops.

Maintenance

Maintenance technicians

Access procedures, component locations, required machine states and the order of the work steps.

Setup

Setup personnel

Changeovers, fixture and gripper changes and the checks that release production again.

Automation

Controls and robot staff

Program handling, diagnostics and the effect of a change on the surrounding process.

Onboarding

New employees

A consistent introduction to a complex cell without occupying the plant or an experienced colleague.

Before delivery

Teams at the future site

Qualification while the plant is still being built, so the first day of production is not the first day of learning.

Lifecycle view

Training is one more use of a model you already own.

The same digital twin supports planning, software validation, ramp-up and later changes. Using it for qualification adds value without adding a second system to maintain.

Every update keeps all of these uses current at once, which is what makes training on the twin sustainable rather than a one-off project.

01Planning and simulation of the production system
02Virtual commissioning of the automation software
03Ramp-up to stable series production
04Training and qualification on the digital twin
05Changes, retrofits and continuous optimization

A second, separate training track

Software training

Learning to work with RF::SUITE yourself.

This is a different subject. Software training is not about operating a plant, but about qualifying engineers to build, connect and use RF::SUITE environments — including the standards, rules and project structures behind them.

01
RF::SUITE tool training

Practical qualification on the modules your projects use, from model creation to simulation and analysis.

02
Standards and methodology

Working with naming rules, libraries, signal standards and project structures so results stay consistent across teams.

03
Project-related coaching

Support on your own project data, so what is learned is applied directly to the plant you are working on.

Dates, contents and levels are described in detail on the software training page.

Frequently asked questions

Training, clearly explained.

What is the difference between the two training offers?
Training on the digital twin qualifies the people who operate, set up and maintain a specific plant. Software training qualifies engineers to work with RF::SUITE and the underlying standards. The first is about your production system, the second about our software.
Do we need a virtual commissioning project to train on the twin?
No, but it helps considerably. If a model already exists from simulation or virtual commissioning, it can be reused with limited effort. Without an existing model, the relevant section of the plant can be modelled specifically for training.
Can areas be shown that are inaccessible in the real plant?
Yes. That is one of the main reasons to train virtually. Views into enclosures, behind guards or between stations can be opened up, and the work steps required there can be practised before anyone physically enters the area.
Can fault situations be trained?
Yes. Defined disturbances can be triggered at any time, repeated as often as needed and stopped mid-sequence to explain what is happening. Rare situations become available for training instead of being encountered for the first time in production.
Does training on the twin replace instruction on the real plant?
No. Safety instruction, handling of real equipment and site-specific procedures remain necessary. Virtual training prepares the sequence and the understanding, so time on the real plant is shorter and more focused.
Can our own trainers run the sessions?
Yes. Your team can be enabled to run, adjust and extend the training environment. EKS InTec prepares the model and scenarios, and hands over the knowledge needed to work with it independently.
What happens after the plant is modified?
The model has to be updated, otherwise training would teach an outdated system. Keeping the twin aligned with the as-built plant also benefits ramp-up, change validation and analysis, so the effort serves more than one purpose.

Your training environment

Let your team learn the plant before it depends on them.

Tell us which cell, which roles and which situations matter. We will show you what can be built from your existing model and how a first training scenario could look.

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