Rompa Group is a worldwide producer and has many production sites around the globe. We have been preparing our locations for digitalisation as we are using more and more analytics and Internet of Things for our processes. We try to optimise performances of our production processes and for this, we use smart devices and sensors. These items are made to connect to the network to gather information.
We are revolutionising our production sites and this is made possible thanks to smart sensors. Below we give you a couple of applications of smart sensors as we use them in the processes.
First of all and most importantly, data collection. Big data has been implemented in many industries already. With smart sensors it collects data from different devices, systems and machines and makes it possible for those instruments to connect to each other. This gives us the possibility to monitor our equipment and the performance of our systems. The collected data generated by these sensors also allows us to analyse and compare it so we can improve if necessary.
Another great benefit of the implementation of sensors is that it is providing us with notifications and updates about our equipment. For example, whether maintenance is necessary. We do not want equipment failure, with these sensors we can be on top of our maintenance and make sure our machinery is always up to date and taken care of. The smart sensors Rompa Group uses for this send us alerts and notify us for potential or upcoming maintenance.
Besides the ability to collect data and use it to optimise our production process, this data is also very useful for reporting. Some items that we produce, for example pharmaceutical products, have specific regulations. We follow strict rules and obligations and we back this up with the data we collect through our sensors. Our smart sensors log the data and we customize the reports for certain parameters, such as humidity, running hours, temperature, etc.
The demand of customers changes, sales might increase depending on a particular season or due to other circumstances. To keep inventory as low as possible we try to produce on customers demand. But we do need to know the consumer's demand, we are able to optimally predict this thanks to the data generated through sensors. This way we can be more responsive and scale our productions more accurately, which in the end is a lot more productive and efficient.