Product Function Module Redesign Recognition Based on Fuzzy Clustering

To solve the existing pain points of the product, obtain a complete set of product functional module redesign identification methods, and enhance the company's competitiveness. In response to the issue of how to redesign product functional modules reasonably, this paper proposes a fuzzy clustering based method for product functional module redesign recognition. This method is based on user demand analysis and product function analysis. It first collects user demand information online, organizes and summarizes it, and then expresses it in professional terms to obtain the existing pain points of the product. Simultaneously collect and analyze product related information, abstract the redesigned object into a functional system, and decompose it into multiple levels of sub functions. Subsequently, a fuzzy evaluation was conducted on the degree of correlation between the input and output of subfunctions with different demand parameters. Taking into account each demand parameter, a correlation matrix was calculated, and then clustering analysis was used to analyze the results obtained. Functional modules were classified for the subfunctions, and the product was redesigned and identified from the perspective of product functional system integrity. Later, the snow rescue vehicle was used as a case study in this article to validate the proposed functional module redesign recognition method, and the results showed that the method was relatively reasonable.