Challenge
- Up to now, quality managers have assigned components manually and/or using a simple, rule-based system. This approach ties up a lot of capacity and is also prone to errors, which additionally results in high costs for correction.
- The company's goal is to automate components assignment in the production facilities.
Solution
- Automation of a partial process of the assignment using a decision-making tree:
- AI learns assignment rules from past QMI component assignments that can be applied to new components.
- The assignments are regularly trained with new data.
- Monitoring the automated partial process using KPIs to monitor the reliability of the AI procedure.
Benefit
- Partial automation reduces the error rate and costs for assignment.
- Accelerated quality management process by performing the individual process steps faster.
- Frees up quality managers to focus on the more difficult cases in the quality management process.
