Design Requirement Mapping for Early Trouble Notification
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Solution Overview
Problem
Designers face challenges in identifying potential design element issues during product design due to the lack of effective systems that notify users of troubles associated with design elements having similar design requirements, leading to potential design flaws.
Innovation Solution
An information processing apparatus with a memory and processor that classifies design elements and their corresponding design requirements, and notifies users of potential troubles by determining associated trouble categories through a database system, utilizing natural language analysis and a thesaurus for normalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a design support system determines relationships between design elements and requirements, then design quality improves, but the system cannot notify users of troubles in design elements with similar requirements
Solution Approach 1:
The system performs preliminary classification of design elements and their requirements into categories before the actual design process. By pre-establishing category relationships and storing trouble information associated with each category, the system can notify users of potential troubles in advance when selecting design elements, rather than waiting for troubles to manifest during or after design completion.
Solution Approach 2:
The system implements a feedback mechanism where trouble information from previously analyzed design elements is fed back to users during the design process. When a user designates a design-element category, the system retrieves and notifies associated trouble categories, providing continuous feedback that helps users avoid known design pitfalls and improve overall design reliability.
2Measurement precision
If the system classifies and analyzes all design elements and requirements, then trouble detection accuracy improves, but system complexity increases
Solution Approach 1:
The system segments the complex task of analyzing all design elements by introducing category-level abstraction. Instead of analyzing individual design elements in detail, the system classifies them into categories and analyzes trouble patterns at the category level. This segmentation maintains high detection accuracy while reducing the computational complexity of processing each individual element.
Solution Approach 2:
The category structure serves multiple functions simultaneously: it organizes design elements, groups requirements, stores trouble information, and enables notification. This multi-functionality reduces system complexity by using a single categorical framework for multiple purposes rather than implementing separate systems for each function.
Data Source
AI summary
An information processing apparatus includes a memory and processor. The memory stores a trouble category into which a trouble occurring in a product is classified and a design-element category into which a design element causing the trouble and included in the product is classified in mutual association and store a design-element category into which a design element included in a product is classified and a design-requirement category into which a design requirement of the design element is classified in association with each other. The processor receives designation of a first design-element category by user, determines a design-requirement category corresponding to the received first design-element category by referencing to the memory, determines a second design-element category corresponding to the determined design-requirement category and different from the first design-element category, determine a trouble category associated with the determined second design-element category, and notify the user of information indicating the determined trouble category.