Information Processing Apparatus for Part Quality Estimation
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Solution Overview
Problem
The compatibility of combined parts in manufacturing products can lead to decreased product quality, as different parts of the same model number may interact differently, resulting in defective products.
Innovation Solution
An information processing apparatus comprising first and second estimators and a determining unit, which estimates the quality of individual parts and their influence on product quality based on error information, determining the optimal part for each product portion to minimize defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individual parts are selected based solely on model number specifications, then manufacturing process is simple, but product quality decreases due to poor part compatibility
Solution Approach 1:
The system performs preliminary quality estimation of individual parts and preliminary determination of part-portions matching before actual product assembly. By pre-evaluating part qualities and pre-determining optimal combinations, the system resolves compatibility issues before manufacturing, thereby improving product quality without complicating the actual assembly process
Solution Approach 2:
The determining unit acts as an intermediary between part selection and product assembly. It receives quality information from the quality information acquisition unit and translates this into optimal part-portions matching decisions, mediating between simple model number selection and complex quality-based selection
2Reliability
If part quality estimation and matching determination are performed for all parts, then product quality improves, but manufacturing time and complexity increase
Solution Approach 1:
The system applies quality estimation and matching determination selectively to individual parts and their corresponding portions rather than uniformly to all parts. The determining unit identifies specific part-portions combinations that require quality matching based on the nature of each portion, applying quality control where it matters most while avoiding unnecessary complexity for less critical components
Solution Approach 2:
The system changes the parameter of part selection from simple model number matching to quality-based matching. By introducing quality as a selection parameter and using the determining unit to optimize the matching based on quality information, the system improves product quality while managing manufacturing complexity through intelligent parameter optimization
Data Source
AI summary
An information processing apparatus includes first and second estimators and a determining unit. The first estimator estimates a quality of each individual part to be used for a product, based on error information concerning a manufactured product. The second estimator estimates a degree of an influence of each portion of a product on a quality of the product, based on the error information. The determining unit determines, for each portion of the product, which part will be used for a corresponding portion of the product, based on the estimated quality and the estimated degree of an influence.