Product personalized customization method based on case-based reasoning

Abstract

The invention discloses a product personalized customization method based on case-based reasoning, which comprises the following steps: (1) constructing a case collecting product cases to establish a product case base, modularizing decomposition of the product cases to establish a modularized case base, and subdividing user requirements by multiple levels to establish a user requirement iteminformation base; (2) case retrieval and matching: determining the attributes of user requirements and the attributes and weights of each product module, establishing the mapping relationship betweenuser requirements and product modules, and obtaining the candidate modules that meet the user requirements through similarity calculation; (3) case storage: the user selects the candidate modules inthe personalized customization system, configures the product modules, generates the product personalized customization scheme, and stores the generated scheme in the case base. The method has the characteristics of accurately establishing the mapping relationship between the user requirements and the product modules, and improving the personalized customization efficiency and the satisfaction degree of the user.

Description

technical field [0001] The invention belongs to the technical field of computer-aided design, and in particular relates to a case-based reasoning-based product customization method. Background technique [0002] Personalized customization is a design and manufacturing model for multi-variety and small-batch production. Enterprises design a variety of interactive tasks for users through the product personalized customization system, so that users can participate in product personalized customization, and combine case reasoning technology with modules Combined with modernization technology, it is applied to product configuration design to improve product configuration efficiency. [0003] In the existing technology, enterprises use methods such as quality function deployment and kano model to obtain and analyze user needs, collect certain types of product cases, divide product cases into product module sets according to attributes, and establish user requirements based on the ...

AI Technical Summary

Problems solved by technology

However, it is difficult to fully describe the customization process only by analyzing user needs and products, resulting in low efficiency in product configuration that meets user needs

In short, the current product customization is mainly based on the configuration modules given by the enterprise, and the user's participation is not high, resulting in a discrepancy between user needs and recommended product modules

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