Enjoy the Sound of Silence – on the Way To Advanced Quality Management
Have you ever experienced the magnificent calm before dawn? Or the expectant silence in a room full of people when someone is about to speak? Or perhaps you know the quiet of a country road at night or the fulfilling peace just after a storm ends … Each one is different and all very beautiful if you listen carefully. When you listen to steel and aluminum production – often all you hear is deafening noise as customer satisfaction drops or production costs rise due to missed quality expectations. The wave of digitization offers great potential for optimizing the quality and making it easier to handle at the same time – to finally take a deep breath and enjoy the silence of a smooth shopfloor.
When people think about a product, the first thing that most have immediately in mind is the price. But if you ask them what they think about the quality of the product, they would answer that they find quality in general very important and (especially for the price) somehow self-evident. Indeed, quality only stands out if it doesn’t meet expectations and requirements – bad quality creates noise. At the same time, it’s a strong cost driver which makes quality a costly and sometimes annoyingly noisy implicitness.
Fading Out the Noise With Big Data
Fading out production noise and offering the best quality goods by collecting mass data can be highly effective. Big data is just like sound cancelling headphones in a loud environment.
Over 500.000 measurements are recorded by sensors just for rolling one coil—a wealth of data that one person cannot mine. However, the purpose of collecting production data is, just like silence, often misinterpreted. The key to a smooth production isn’t the mass data themselves, but the ability to assign meaning to them in their individual process context and to reconcile them with all actors in current and past production.
You need to identify and understand quality issues, track them back to their origin and finally learn how to mitigate them in the future. This approach is neither rocket science nor new, but the availability of new tools and technologies around Industry 4.0 and digitization makes it worth taking up – again.
Seeing the Big Picture
If it’s not new, what’s the game changer then?
We think it’s the ability to step out of local data silos and utilize modern IT capacity to apply given techniques not only to reach local optima but to cover the full supply chain.
With this holistic approach we’re able to replace previous system silos for data analysis. The integrated view and contextualized data relieves users from the tedious task of making the information that was obtained from the system silos comparable. Instead, users have faster and easier access – leaving more time for improving the quality through the added value of the information obtained.
Holistic Silence – Discover the Sound of Advanced Quality Management
With PSImetals Quality we’re now throwing the door wide open to the world of mass data processing, Machine Learning and thus the idea of a closed quality control cycle. By combining time-critical, process-based data with material-related measurements values throughout the entire material genealogy, the concept of Quality Indicators (QI) makes the holistic approach a respectable possibility. Following the concept, the system is able to make a quality decision based on complex data situation immediately after a production process, far richer than a simple comparison of material data to target order requirements, and without the need for lengthy sampling processes.
Want to find out more about QIs?
Read our article "A New Era of Quality Management" in Production Manager 2020-1!
Autonomous Quality Decisions for Smooth Shopfloor
The concept of QIs opens up entirely new horizons. Together with PSI’s Deep Qualicision framework, autonomous quality decisions become reality! In addition to the final product quality, the stability and reliability of the process are also a fundamental key to success. The Factory Model, the Digital Twin of the production environment, contains the genealogy of all materials together with all process-related data. Together with the QIs, the Factory Model forms the perfect basis for quality forecasts. Precisely with highly integrated, time-critical processes such as heating, detecting quality issues in the process can ensure that the material flow is maintained and secure the associated customer satisfaction – a “Mission Impossible” for system silos. Industrial Intelligence at its best!
So Take a Deep Breath and Enjoy the Silence With Us!
We believe that there’s a reason the words “listen” and “silent” share the same letters – to be a good listener, we need to first learn how to be silent and vice versa. Opening our minds and listening to different and rapidly changing market requirements as well as constantly improving the quality of your products are our main drivers. This is the reason why we recently released the PSImetals Service Platform and by that opened the door for 3rd party offerings that can be seamlessly integrated into the PSImetals world: Using technology from BFI in Germany the idea of Root Cause Analytics gets a new meaning and the start-up CoilDNA claims nothing less than the creation of the Internet of Metals.
Do you want to know more? Follow our “Enjoy the Sound of Silence” campaign, which is enriched with many exciting blog articles and exclusive webinars, so that you can finally enjoy the silence of a smooth shopfloor!
Enjoy the Sound of Silence Series:
- Part 1: “How Industrial Intelligence Takes Quality Management to a New Level”
- Part 2: "Advanced Quality Evaluation – Why Quality Engineers Love Both Cats and Foxes"
- Part 3: "Chicken or the Egg – How to Perform a Root Cause Analysis in 3 Steps"
- Part 4: "The Internet of Metals – How to Trace the DNA of a Coil"
What is your opinion on this topic?
Director Marketing PSI Metals GmbH
After taking over the marketing department of PSI Metals in 2015 Raffael Binder immediately positioned the company within the frame of Industry 4.0. So it is no wonder that in our blog he covers such topics as digitalization, KPIs and Artificial Intelligence (AI). Raffael’s interests range from science (fiction) and history to sports and all facets of communication.
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