Industry Quality Test Automation

Artificial Intelligence solution that anticipates Quality Testing needs, maximizing production efficiency and minimizing waste.
Artificial Intelligence enables prediction defects and intervene in the production process with greater precision, ensuring the maintenance of product quality and conformity.

The Solution

This asset analyzes patterns in historical production data to predict the likelihood of individual units failing quality tests.
By identifying the risk of failure in each unit produced, it allows for more focused intervention and more efficient quality validation.
Asset 14

Preliminary Analysis

• Historical data collection from production systems.

• Using AI to analyze and select relevant information.

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Predictive Modeling

• Developing an AI models based on historical data.

• Building models to predict quality test results.

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Real-Time Forecast

• Applying predictive model to evaluate real-time data as products pass through specific points in the production line.

• Prediction of probabilities of passing or failing quality tests.

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Decision Making

• Automated decision on the need for manual quality testing based on Quality Prediction.

• Redirecting resources to higher risk areas and optimizing the inspection workflow.

Benefits

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Production
Optimization

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Reduction in
Production Time

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Increase in Production
Capacity

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Flexibility and Efficiency
in Working Between
Machines and Humans

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Maximizing
Employee Time

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Minimizing Error
and Human Burden

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Quality and Consistency
Improvement

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Quick and Assertive
Decision Making

Quality Predictor Applications

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Predicting Manufacturing Defects

Predict irregularities/defects at any point of the production line.

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Optimizing Machine Maintenance Cycles

Predict the probability of failure in critical components of assembly line machines, allowing proactive maintenance and reducing downtime.

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Quality Control in Finishing and Assembly Processes

Assess the conformity of final finishing and assembly processes.