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AI-based Quality Failure Analysis

MPDV Mikrolab GmbH

Analyzing Failure Types with Artificial Intelligence (AI)

Failures are one of the greatest opponents of the Smart Factory. The later you detect a failure, the more expensive it gets. Therefore, it would be great to know the conditions leading to failures and to avoid them before they occur. Especially in complex or safety-related production environments, it is often not sufficient to just classify parts as yield or scrap. A dedicated quality management system distinguishes between different types of failures and provides detailed information on how deviations from target specifications can be systematically eliminated.

The mApp AI-based Quality Failure Analysis leverages your quality management and takes it to the next level. The mApp analyzes the failure types that have occurred and connects this data with influencing factors like the production resources used (machine, tool, material, article, etc.). Based on this information, you can use the occurrence of failures for systematic optimizations. The measures taken and their effectiveness can be evaluated more easily if you display the data over time in graphics.

Your Benefits

You can identify (hidden) correlations between failure types and the production resources used and incorporate targeted optimization measures into your quality management and manufacturing processes.

Technical information

The mApp AI-based Quality Failure Analysis is part of the HYDRA X categories Quality Management and AI Suite.

The mApp uses data of the Virtual Production Reality (ViPR) of MPDV's Manufacturing Integration Platform (MIP).

AI-based Quality Failure Analysis in the MIP ecosystem

This mApp adds to quality management in your Smart Factory. MPDV also offers the following mApps:

 

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