基于可拓学与因果链分析的产品创新设计研究

Research on product innovation design based on extenics and causal chain analysis

为解决TRIZ因果链分析问题时主观性强的缺点,基于可拓学的相关分析与可拓聚类方法,将因果链分析采用参变量基元表达,依据相关分析原理的参数概念和定量化方法客观地分析问题。采用可拓聚类对问题进行筛选,确定最终关键问题,并使用TRIZ冲突解决理论完成问题求解。将可拓学与因果链分析相结合,不仅可增强因果链分析的客观性与逻辑性,也能准确地辅助设计人员发现产品的问题。以叉车的改进设计为例,进一步验证了该方法的可行性。

In order to solve the shortcoming of strong subjectivity in TRIZ causal chain analysis,correlation analysis and extension clustering method of extenics were used to express causal chain analysis using parametric primitives. The problem was analyzed objectively based on parameter concepts and quantitative methods according to relative analysis principles. Key problems were screened by extension clustering to determine final key problems. And TRIZ conflict resolution theory was used to complete the problem solution. The combination of extenics and causal chain analysis not only enhanced the objectivity and logic of causal chain analysis,but also accurately assisted designers to find product problems. A forklift was taken as an example to verify the feasibility of this method.