Printing Innovation Asia Issue 8 2020
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What does Big Data Label Printing Indus We’ve been talking about Big Data, Digital Transformation, Internet of Things (IoT), Industry 4.0 for so many years. In our daily life, it’s happening all around us. Take a look at our cars, televisions and even our refrigerators. More and more intelligent products and services will be introduced into our lives. So, what does Big Data mean to the Label Printing Industry? What Big Data is and why it’s really important Putting it simply, Big Data is a bunch of collected data and facts. Big Data is the key in bringing our businesses to the next level. It’s the basis of continuous improvement or “Kaizen” as the Japanese define so well. We need to turn data into meaningful facts by analysing them, so that it brings value to us. With this valuable and reliable information, we can make better decisions and gain more insights which leads to new ideas. However, making decisions based on data is easier said than done. Not everyone is used to this methodology. Some of us are quick to say, “I know my stuff. I’ve been in this industry for many years.” Often though, the reports based on facts show a different picture versus what is in the minds of some. Using data must become part of the
company culture, and often requires a mindset change. What about Big Data in the Label Printing Industry? The printing industry in general is called an art – Graphic Arts. Especially in the past, for example, colours were estimated and not measured. Much has changed over the years. Digital workflows with quality monitoring processes and MIS systems have given us tremendous consistency in quality and increased productivity. One black box remains though: rarely do we collect data from the actual printing press. We allow operators to fill in events and functions. So, important criteria such as accurate speed over time, web tension of the infeed and outfeed, exact set up times, waste, pressed function keys –
like the registration function – are not clearly known. Input by operators is not only prone to human error, it limits the number of data points. This means we don’t clearly know what’s happening with the press during the day or week. We can’t clearly benchmark jobs run by different operators with different skill levels or jobs run on different presses. This makes continuous improvement processes more difficult to implement as facts based on real-time data aren’t being used. That’s where Big Data can help the label printing industry. Sensor Technology and Intelligent Label Printing Machines In the latest generation of label printing presses, sensor technology combined
