NIRAS' Digital Twin simulation tool can explore the robustness of a design far better than traditional peak or average calculations.
Insight

NIRAS simulation tools save money and facilitate decision making

NIRAS’s simulation tools make it possible to create a complete virtual 3-D copy of existing or future design of factories or other production facilities. This virtual mirror makes planning and design faster, easier and cheaper.

When constructing a new factory or adjusting an existing production plant, time is of the essence, and each miscalculation and delay can be very costly. To overcome these challenges NIRAS has developed a complete series of simulation tools in order to optimise the design processes of our clients’ future factories.

These tools can also scan and make a virtual duplication of both the interior and exterior of existing factories in order to facilitate the design of new extensions or other changes.

The Digital Twin: Virtual copies of factories

“The simulation toolbox enables NIRAS to build a digital twin of any given factory. We can show a completely detailed layout of the functionality of the factory, down to individual machines, operators, conveyors, forklifts, buffers, stocks, incoming raw materials trucks, finished materials goods and so on,” explains Henrik Larsen, Department Manager for Supply Chain in NIRAS.

Therefore the tool is very useful in workshops where a company needs to target audiences with different backgrounds or with different knowledge of the firm.

Additionally, the Digital Twin is also able to explore the robustness of a design in a far superior manner than traditional peak or average calculations can offer.

Easily accessible visualization of complex matters

It can be challenging to find the origin of problems in large modern production facilities that are characterized by complex production lines, increased complexity in orders and lower margins.

However, NIRAS’ Digital Twin can simulate the processes in an easily accessible and visually attractive manner. Thus, the tool can provide clear communication and concrete examples which help to create a common understanding of complex matters.

Not only does the model show the best solution financially, but it also enables us to create a common understanding across the organization.

Jacob Christian Møller, Expertise Director in NIRAS

Therefore the tool is very useful in workshops where a company needs to target audiences with different backgrounds or with different knowledge of the firm.

Additionally, the Digital Twin is also able to explore the robustness of a design in a far superior manner than traditional peak or average calculations can offer.

Easily adaptable and future-proof solution

Once the Digital Twin model has been developed for a company, the different parameters can easily be modified only using MS Excel.
This feature eliminates the need for involving simulation expertise or programmers in the adaptation process, which makes the Digital Twin a very flexible and accessible tool.

“Not only does the model show the best solution financially, but it also enables us to create a common understanding across the organization by clearly aligning and visualizing basis and expectations for the project for the different stakeholders from operations, engineering, sales and product development,” says Jacob Christian Møller, Expertise Director in NIRAS.

NIRAS simulations projects

NIRAS is among the most experienced logistics consultancies in Denmark, and the company has created optimal logistics solutions for some of the biggest hospitals, breweries, dairies, and industrial production companies in Scandinavia and world-wide.

Recent NIRAS simulations projects include:

  • Simulation of warehouse for 90,000 pallets to optimize for a 30% capacity increase.
  • Modelling of a poultry slaughterhouse and processing line with a capacity of 2 x 15,000 birds per hour to carry our design validation of largest and most complex production weeks in a 5 year scenario.
  • Design validation of an equipment suppliers layout of a pork processing plant.