A real life example how our Intelligent Operations Platform speeds up your closed-loop operations: Part 1

Publish date:

We have designed our Intelligent Operations Platform (IOP) to make manufacturing both more efficient and flexible. Using real-life customer example, we describe how IOP helps to identify and rapidly resolve manufacturing issues in your Smart Factory following data-driven operations.

We have a problem

Our customer is an automotive manufacturer who is producing injection molding parts that are later used at the vehicle assembly line. Recently there have been several complaints from final assembly. Parts are defective several times per week and therefore negatively impacting vehicle output.

Looking into the problem

In order to tackle this problem a computer vision system is installed right before the parts are packaged for the assembly line. The responsible production engineer is training an artificial intelligence (AI) model within a day without the need of knowing all the data science going on behind the scenes (see chapter “Setting up Collaborative Vision in detail”). The images and results of the quality check are automatically transferred to the Intelligent Operations Platform (IOP). This makes all the data available for further analysis without the typical hurdles we see today when connecting new sensors. The logistics employees receive feedback once defective parts are detected and sort them out.

Creating objective measures

Having the data in IOP, the impact of the problem can be efficiently and objectively quantified. Gut feeling is replaced by evidence. Our scenario problem has worsened. Defects are now detected several times a day. While people are acting on the defects, the root cause is still undetected. Three things are making it complex for our production engineer: Parts cannot be traced back to the production situation in injection molding machine (IMM), the defects only happened sporadically, and the error image is vague.

In our next post we will show how our customer detected the root cause.

Find out how Capgemini can accelerate the effectiveness of your digital manufacturing operations at scale with our “Factory of the Future” approach here:

Stay tuned for part 2 of this blog series.

Related Posts

AI

How Artificial Intelligence redefines marketing operations

Gunjan Aggarwal
Date icon November 30, 2020

The need of AI adoption in marketing is gaining momentum continuously. Here are just some of...

Artificial Intelligence

AI and ethics – why is it important?

Lee Beardmore
Date icon November 19, 2020

When customers feel comfortable being served by an organization’s AI systems, they are more...

AI

How to find the path to a data-powered enterprise

Dinand Tinholt
Date icon November 18, 2020

Companies are still struggling to activate data and artificial intelligence.