Production Component Pairing for Higher Combination Rate
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Solution Overview
Problem
Existing production management systems face a lower combination rate of components across different ranks, even when components can be combined, leading to inefficiencies in component utilization.
Innovation Solution
A production management system that preferentially selects components with values far from the tolerance median in the first component group, and then selects components from the second group that yield specific dimensions within a target range when combined with the first component group, thereby improving the combination rate without ranking components by finished dimensional accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If components are ranked on the basis of finished dimensional accuracy and combined by same rank, then manufacturing precision is improved, but combination rate deteriorates
Solution Approach 1:
The patent inverts the conventional approach by not ranking components according to dimensional accuracy, but rather selecting components based on their ability to form valid combinations. Instead of grouping by similarity (same rank), the system identifies components that can successfully pair across different ranks, thereby improving combination rate while maintaining precision through validation of specific dimension ranges.
Solution Approach 2:
The patent changes the selection parameter from dimensional accuracy ranking to combination validity assessment. By evaluating whether combined components yield specific dimensions within target ranges, the system transforms the selection criterion from a single-component property to a pair-wise relationship property, enabling higher combination rates without sacrificing precision.
2Productivity
If components with values far from tolerance median are preferentially selected, then combination rate is improved, but manufacturing precision deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where component selections are validated by checking whether the combined specific dimensions fall within predetermined target ranges. This feedback loop ensures that even when components with extreme values (far from tolerance median) are selected to improve combination rate, the final assembly maintains required precision through validation and exclusion of invalid combinations.
Solution Approach 2:
The patent performs preliminary validation of combination validity before final assembly. By预先 checking whether selected component pairs yield specific dimensions within target ranges, the system prevents precision issues from arising in the first place, allowing aggressive selection strategies (prioritizing combination rate) to be safely employed.
Data Source
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AI summary
A production management system includes: a first component selection unit (104) that, when combining a component of a group of components A (first component group) and a component of a group of components B (second component group) among the plurality of component groups, preferentially selects a component Aa having a value far from a tolerance median of the group of components A,; and a second component selection unit (105) that selects, from the group of components B, a component Bb that yields a specific dimension within a target dimension range when combined with the component Aa selected from the group of components A.