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Shift from reactive to proactive improvement of “first-time right” with secure data sharing
Oftentimes one specific criteria doesn’t meet fab specification limits, and raw material pre-conditioning is a month-long process that can delay customer needs.
Problem | Parameters in supplier process don’t meet fab criteria
Oftentimes one specific criteria doesn’t meet fab specification limits, and raw material pre-conditioning is a month-long process that can delay customer needs.
Solution | Proactively predicting in-process and Certificate of Analysis parameters
How it works:
Extract data from data base and integrate into Athinia
Implement limits on the incoming raw material to predict values post pre-conditioning
Run multivariate analysis, validate and train models
Results
Production Planner can provide a prediction for planned batches
If one batch fails customer limits, Production Planner can react and plan another batch to be mixed for a weighted average to meet customer limits
Possibility to plan and meet customer limits better, helping to improve customer commit planning
Excursion response with data sharing
Only 5 minutes
needed for extraction
< 1 day
needed for analysis and upload
30 days
can be saved in delays to customer delivery, preventing intermediate OOC material
4-8 hours
can be saved in planning
Shift from reactive to proactive improvement of “first-time right” with secure data sharing
Problem | Parameters in supplier process don’t meet fab criteria
Oftentimes one specific criteria doesn’t meet fab specification limits, and raw material pre-conditioning is a month-long process that can delay customer needs.
Solution | Proactively predicting in-process and Certificate of Analysis parameters
How it works:
Extract data from data base and integrate into Athinia
Implement limits on the incoming raw material to predict values post pre-conditioning
Run multivariate analysis, validate and train models
Results
Production Planner can provide a prediction for planned batches
If one batch fails customer limits, Production Planner can react and plan another batch to be mixed for a weighted average to meet customer limits
Possibility to plan and meet customer limits better, helping to improve customer commit planning
Excursion response with data sharing
Only 5 minutes
needed for extraction
< 1 day
needed for analysis and upload
30 days
can be saved in delays to customer delivery, preventing intermediate OOC material
4-8 hours
can be saved in planning
Shift from reactive to proactive improvement of “first-time right” with secure data sharing
Oftentimes one specific criteria doesn’t meet fab specification limits, and raw material pre-conditioning is a month-long process that can delay customer needs.
