An Improved TRIZ-CBR Model for Rapidly Innovative Design

Abstract

G. Cortes Robles’ TRIZ (Russian acronym for “Theory of Inventive Problem Solving”)–CBR (Case-based reasoning) model has the capacity to accelerate conceptual design and to find inventive solutions. This paper describes how the TRIZ–CBR model can be enhanced by introducing the weight sensitivity. Of course, weight used to measure the relative importance of multiple attributes is a very important component of the similarity function, which has a great influence on the CBR results. By means of weight sensitivity analysis, the similar cases which possess high reference value among retrieved cases can be selected. A laundry drum product example was given to verify the validity of the model.

Multi-Material 3D-Printing Nozzle Design Based on the Theory of Inventive Problem Solving and Knowledge Graph

“…Bai et al expanded upon TRIZ with a multi-contradiction resolution technique for conceptual design, pinpointing crucial contradictions and applying necessary inventive principles [8]. Hu et al integrated TRIZ with a novel human intelligence technology, CBR (Case-Based Reasoning), leveraging TRIZ as the foundation for database retrieval [9]. In a different vein, YamaShina et al harmonized QFD (Quality Function Deployment) and TRIZ methodologies during new product development, systematically amalgamating the two for technological innovation via the product innovation development process [10].…”