Design Assistance System Prioritizing Component Measures
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Solution Overview
Problem
Design assistance tools lack effective mechanisms for prioritizing and displaying measures to address component issues in real-time during the design process, hindering efficient decision-making by design engineers.
Innovation Solution
A design assistance system comprising a component information management server and a design terminal that stores and displays issue-measure information and priority indices, allowing for the display of measures to address component issues based on priority indices such as price and maintenance factors during 3D CAD design.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple measures to address component issues are displayed without prioritization, then design engineers can see all possible solutions, but it becomes difficult to determine which measure to implement first
Solution Approach 1:
The patent introduces a priority index parameter that quantifies the importance of each measure based on factors like price and maintenance. This parameter transformation converts unranked measures into a prioritized list, allowing engineers to quickly identify the most important measures while retaining access to all measures through the database.
Solution Approach 2:
The priority index acts as an intermediary between the complete measure database and the engineer's decision-making process. It provides a computational bridge that processes multiple measures and outputs a ranked list, eliminating the need for engineers to manually evaluate and rank each measure.
2Reliability
If design engineers manually evaluate and prioritize multiple measures to address component issues, then they can make informed decisions, but it consumes significant time and effort during the design process
Solution Approach 1:
The system performs preliminary evaluation of measures by pre-calculating priority indices based on price, maintenance, and other factors. This preliminary action is done automatically by the computer before the engineer needs to make decisions, significantly reducing the time required for measure evaluation while maintaining decision quality.
Solution Approach 2:
The patent replaces the manual mechanical process of evaluating and prioritizing measures with an automated computer-based system. The computer calculates priority indices and ranks measures automatically, substituting human effort with computational processing that is both faster and more consistent.
3Loss of information
If the design assistance tool displays detailed information about all measures, then engineers have comprehensive data for decision-making, but the interface becomes complex and hard to navigate
Solution Approach 1:
The patent segments information display into two parts: a simplified priority-based ranking view that shows the most important measures first with key metrics, and a detailed database view that contains complete information about all measures. This segmentation allows engineers to access comprehensive data when needed while maintaining a simple interface for routine decision-making.
Data Source
AI summary
A design assistance system includes a component information management server and a design terminal. The component information management server includes an issue/measure information memory and a priority index memory. The issue/measure information memory stores a component to be used in a design assistance tool, an issue on the component, and measures to address the issue in association with each other. Each measure is at least one of addition of an addition target component and removal of a removal target component. The priority index memory stores a priority index in association with the addition target component and the removal target component. The design terminal includes a measure display that displays measures to address an issue on a focused component in a format based on the priority index associated with at least one of the addition target component and the removal target component included in each measure.