Abstract
The individualization and diversification of customer requirements are gradually affecting the product design and manufacturing process, and the production mode of enterprises is evolving toward customer-oriented mass individualized customization. The change in customer requirements is inevitable in the process of individualized product design, which is the key factor leading to the change in product design. This paper establishes the correlation matrix of individualized product parts and components by mining correlation rules and constructs a correlation network model of these parts based on complex network theory. By comprehensively considering the influence of part nodes and their association relationships within the complex network, the intensity of change propagation is calculated using node importance and the probability of change propagation. The search for multi-source design change propagation paths is conducted through an improved ant colony algorithm, and the impact of customer requirement changes is evaluated using the network change rate as an index. This approach helps enterprises make informed decisions regarding customer requirements.
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