<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=1719028&amp;fmt=gif">

How Aarbakke and Cognite are optimizing the use of cutting tools

Contextualize. Reveal. Optimize. Find the solutions that generate real value.

With Cognite Data Fusion (CDF), Aarbakke liberated data from its systems, visualized it, and used it to optimize tool usage.

The solution will help Aarbakke reduce tool assemblies by 60% and increase cutting tool efficiency by 10%.

 

 

In Short

Cognite and Aarbakke used Cognite Data Fusion to break down the walls between separate systems that tracked machine operation data and work orders, helping the manufacturing company analyze and optimize cutting tool usage.

How Aarbakke and Cognite are optimizing the use of cutting tools-01
60% reduction in tool assemblies
How Aarbakke and Cognite are optimizing the use of cutting tools-02
10% increase in cutting tool efficiency
How Aarbakke and Cognite are optimizing the use of cutting tools-03
22,000+ unique cutting tools overviewed

Challenge

Aarbakke’s computer numerical control (CNC) machines use more than 22,000 unique cutting tools to complete complex operations on sometimes rare materials. However, due to old numerical control programs, lack of operator experience, and other reasons, these tools are sometimes used in an inefficient way, and operators and production managers are only aware of a suboptimal cutting process once the part is finished.

It is also difficult to get an overview of tool usage and performance. Some tools may be in use for hundreds of minutes in a single day, while others may hardly be used at all.

img_8367

Solution

Aarbakke already had in place separate systems that tracked machine operation data and work orders -- the systems just didn’t communicate with each other. Cognite and Aarbakke therefore liberated the data from the systems and collected it all in Cognite Data Fusion (CDF), and then visualized it in a dashboard.

The dashboard gives production managers, team leaders, and operators an overview of which tools are most frequently in use and color-codes the usage based on the material that the tool is cutting into. Aarbakke can use this information to optimize tool usage during cutting and reduce cutting time.

unnamed-3

Impact

By analyzing historical use of tool assemblies and their performance, Aarbakke aims to reduce tool assemblies by up to 60% and boost the efficiency of the remaining tools by 10%.

img_0995

Let's get to work

Contact us today to learn what we can bring to your factory floor.

Contact us

Similar use cases

18, March, 2020
How Cognite Data Fusion helps grid operators prevent transformer failures
Read more Read more
18, March, 2020
How Cognite Data Fusion speeds up the power grid connection process
Read more Read more
10, March, 2020
How Cognite's products helped Aker BP set CO2 reduction goals
Read more Read more