Production Condition Management for Verified Optimal Parameter Setting
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Solution Overview
Problem
Existing production line systems face inefficiencies in maintaining optimized manufacturing and inspection conditions due to discrepancies between calculated and set parameters, leading to unintended changes and reduced efficiency in quality control and maintenance.
Innovation Solution
A management system that includes a production data obtainer, an optimal value calculator, an optimal value setting determiner, and an optimal value setter to ensure that optimal production conditions are only set when the current conditions match those used for calculation, preventing unintended changes and enhancing maintenance efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If optimal production conditions are automatically set based on inspection results, then manufacturing precision and quality control are improved, but device complexity and potential for unintended changes increase
Solution Approach 1:
The system implements automatic feedback loops where inspection results from each process (printing, mounting, reflowing) are fed back to adjust optimal production conditions for subsequent processes. The management apparatus continuously receives inspection data, calculates optimal conditions, and automatically sets parameters for manufacturing and inspection apparatuses, creating a closed-loop quality control system that improves precision while managing complexity through automation.
Solution Approach 2:
The management apparatus performs self-service by automatically calculating optimal production conditions and inspection criteria based on inspection results without requiring manual intervention. The system autonomously adjusts manufacturing parameters and inspection settings, reducing the need for operator involvement while maintaining high manufacturing precision and quality control standards.
2Productivity
If optimal production conditions are set without verifying current conditions, then productivity increases, but reliability decreases due to unintended changes
Solution Approach 1:
Before setting optimal production conditions, the management apparatus performs preliminary verification by obtaining current production conditions from manufacturing apparatuses and comparing them with the conditions used to calculate optimal values. This preliminary check ensures that optimal conditions are only applied when appropriate, preventing unintended changes and maintaining reliability while still enabling productivity improvements through automated optimization.
Solution Approach 2:
The system uses feedback mechanisms to continuously monitor and compare current production conditions with historical conditions used for optimization calculations. By verifying condition consistency before applying optimal settings, the system ensures reliable and predictable production outcomes while maintaining high productivity through automated condition management.
3Measurement precision
If inspection criteria are optimized without considering condition changes, then measurement precision improves, but reliability deteriorates due to invalid optimizations
Solution Approach 1:
The management apparatus performs preliminary verification by obtaining current inspection conditions from inspection apparatuses before setting optimized inspection criteria. It compares current conditions with the conditions used to calculate optimal inspection criteria, ensuring that optimizations are only applied when conditions match. This preliminary check maintains measurement precision while ensuring the reliability and validity of optimization applications.
Solution Approach 2:
The system implements feedback loops that continuously monitor inspection conditions and compare them with historical conditions used for optimization. This feedback mechanism ensures that optimized inspection criteria are only applied when current conditions match the reference conditions, maintaining both measurement precision and optimization validity while preventing unreliable inspections.
Data Source
AI summary
A management system includes a production data obtainer that obtains production data being information including a production condition for a product, an optimal value calculator that calculates, based on the production data, an optimal production condition being a production condition optimal to produce the product, an optimal value setting determiner that performs determination as to whether the optimal production condition is to be set as a renewed production condition for the production facility, and an optimal value setter that sets the optimal production condition for the production facility under a predetermined condition. The optimal value setting determiner determines that the optimal production condition is to be set as the renewed production condition for the production facility in response to the production condition at a time of the determination being identical to the production condition used to calculate the optimal production condition by the optimal value calculator.