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Safety First
Safety first is a common denominator for the culture we want to uphold, and we base our approach on the idea that all accidents can be prevented by working systematically with preventive efforts.

We focus on prevention by registering accidents and near misses and by investing in automation that relieve our employees from repetitive work and heavy lifting.

Proactive approach to accident prevention

An important part of accident prevention is analysing data and applying results to increase awareness and corrective actions in collaboration with our site management and production employees.

Therefore, we collaborate on systematically registering accidents and near misses across our production facilities to help prevent future accidents.

Vision Zero

We are part of the Danish Vision Zero Council, which helps us formalise our approach to creating a safe and healthy workplace, and in accordance with Vision Zero, we promote core values of safety, health, and well-being, and work on processes to prevent accidents, diseases, and injuries at work.

Automation where it’s needed

Butchery is a craft that requires certain skills, so we cannot automate all tasks at our abattoirs. But we’re continually working to automate the heaviest tasks at hand. Namely because repetitive work and heavy lifting entail the high risk of accidents and long-term effects. Therefore, we invest in automation. Like spring-based exoskeletons, which are devices that can imitate certain human movements and thereby reduce the physical burden of repeated lifting. And we have just launched several automation projects like the one below.

In collaboration with several technology manufacturers, we have developed a new robot that uses machine learning to relieve abattoir employees of one of their heaviest tasks.

At present, the robots are running as a pilot project at the Danish pig abattoir in Blans, and in the future robots will be installed at relevant Danish pig abattoirs.

Read more about it here.


Robot technology that helps
The robot takes down large 7-12 kilo cuts of meat from a so-called Christmas tree: a metal rack used at abattoirs. The robot replaces several steps in the production line and reduces the lifting burden for employees. The robot is equipped with a newly developed algorithm based on machine learning. This algorithm is constantly learning, enabling the robot to recognise different cuts of meat and in turn how to handle them.

Work to gradually train the algorithm has been a large part of the project, and development has taken four years.
Read more