Component and resource expressions for trimming method based on Extenics

Abstract

Trimming is an effective tool for the iteration and simplification of product systems. Nonetheless, as product complexity continues to increase, current methodologies face challenges in efficiently recognizing system resources and directing the distribution of functionalities. To address these issues, in this study, we apply the Extenics theory during the Theory of Inventive Problem Solving (TRIZ) trimming procedure for the modeling of component property, which advances effective retrieval rules for resource mining, aiming to resolve component conflicts, and thereby, improving resource utilization. The methodology is detailed as follows: (1) We described the component properties as matter-elements and created a six-dimensional property list for the components; (2) we conducted resource analysis with extension transformation aimed at obtaining the useful functions of the components to be trimmed; and (3) we categorized resources based on their properties. Subsequently, we formulated a systematic rule for resource exploration, which progresses from internal to external resources and is ready to use differential resources. Ultimately, we validated the feasibility of the proposed method by applying it to an inverter-type air plasma cutting machine. In summary, we established a robust design approach and methodological process that mitigates subjectivity, minimizes the randomness of resource identification, and augments both productivity and precision in product innovation.