In the connected, autonomous, smart factory shouldn’t quality be a given? Well, it’s complicated
One of the challenges in Industry 4.0 is extracting meaningful insights from the vast amount of data produced, often in real time, for analysis. While cognitive technologies are improving, massive data volumes have the potential to increase the risk of wrong decisions.
Ensuring your tech is up to the demands of the Industry 4.0 environment is part of the answer, but you are going to need new skills too.
The shift from good quality to digital quality on the shop floor is changing roles and responsibilities
The traditional QC is being sidelined as machines and processes are incorporating quality checks and assurance at the point of production, or in the flow, without the need for separate documented investigation.
That’s creating new roles for quality professionals with the correct skills to interpret and make use of the data being produced—to inform human as well as machine-based decision-making.
It also means that production people, who generally know less about quality, are on a learning curve. Production departments are increasingly on a drive toward world class manufacturing, and to get there they’re going to need some help.
In the age of Industry 4.0, it becomes all the more important that everyone is versed in the processes, tools and techniques that can successfully deliver quality and drive improvement.