Machine information – concerning design models, manufacturing, remote monitoring and service – is typically dispersed in different enterprise systems. Data is collected but not systematically utilized by business driver. Digital twin combines all machine lifecycle data enabling new business models, digital services and new data optimized machine design methods.
How can machine manufacturers and end customers benefit from digital twin?
With actual and predicted machine data of digital twin the end customer can be informed of maintenance needs, improve customer process and decrease machine lifetime cost. For machine manufacturer digital twin enables increased maintenance business and new business models and digital services enhancing whole Industry 4.0 smart factory-readiness.
Remion is collaborating on digital twin project with Mantsinen Group
Remion is the supplier of remote monitoring for Mantsinen Group’s material handling machines. Now Remion also provides them tools to create digital twin environment which Mantsinen Group utilizes for their business model and digital service development.
The remote monitoring solution developed to Mantsinen collects and transmits data from sensors in each machine to a global cloud service. The data is automatically refined and visualized according to end-user’s needs.
It’s important that maintenance, product development and business managers can fully benefit from the data.
Jukka Kivimäki
Remion, CEO
Watch the video of the digital twin collaboration of Remion and Mantsinen
The video is produced by Business Finland.
