Midsona optimizes their production with data
How can data contribute to Midsona?
One thing is that you want to improve your production, another is that you must define which data you need to be able to collect to take action. Trendlog.io has delivered the data collection system Plug&Log to Midsona and after a period of time where they used the system, we were allowed to interview Morten Jensen.
Midsona Danmark A/S uses data to improve efficiency
- We have worked with continuous improvement processes in our supply chain for many years. We have had great succes with the improvement projects we have done, but we also find that after a while, we lose the effect of our changes again. That’s why we need a system that helps us to maintain the level on the improvement projects we do.
- After having worked with continuous improvement for many years, we have “picked the low-hanging fruits” and now use data collection to make decisions from a data based base.
- Midsona has production units all over Europe. When we compare and optimize across production units, we need to assure that we measure in the same ways and from the same base.
Midsona did their research thoroughly. Trendlog.io supplied the data collection system which made it possible for Midsona to collect the necessary data. The data that gave them insight in the production and a base for continuing to improve their OEE.
Midsona’s implementation and use of the data collection solution Plug&Log from Trendlog.io showed clear evidence that is pays off to follow the wave of digitalization. With help from data, businesses like Midsona can centralize important information and give an objective basis for for example for the performance across team shifts or continuous improvement of OEE.
Do you also believe that data could be helpful in your business? And did this story give you something to think about? Then seek advice and counseling with Trendlog.io or find more reading materialon this page.
Moreover, read the next post where we take a closer look on some of the internal challenges businesses can encounter and need to be aware of, related to changes and implementation of new technologies such as data collection or digital predictive maintenance.
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