Design change propagation risk prediction method and device

Abstract

The invention discloses a design change propagation risk prediction method and device. The maximum risk path of design change propagation requires to be predicted before determining the variant designscheme for aiming at the problem of excessive consumption of the design resources caused by the design change propagation avalanche effect in the variant design process. Firstly a product development(PD) network model is constructed. According to the method, redundant connection and long connection between the design nodes in the PD network and the design change node set diffusion characteristics are considered by starting from the fact that the PD network complies with the inherent characteristics of the small world network model; and the design change propagation maximum risk quantitativeanalysis model is established by using the small world network model analysis technology. The weak link of the design change propagation path can be effectively protected and the design change propagation avalanche effect can be prevented. The variant design efficiency can be enhanced and the design cost can be saved so that the basis can be provided for variant design adaptive dynamic planning.

Description

technical field [0001] The invention relates to the technical field of product design, in particular to a method and device for risk prediction of design change propagation. Background technique [0002] In order to better meet the customer's demand for product customization, the product needs to be modified or changed. The initial product function structure will undergo evolution, and finally a series of model products will be formed. Product variant design is an effective means to adapt to new design requirements and support mass customization production. However, variant design will lead to the propagation of design changes in the product development (PD) network, and a partial change to a product will lead to a series of chain-related changes, and even produce an avalanche effect of design change propagation, causing excessive consumption of design resources ( Relative to product development resource constraints), the efficiency and effect of variant design are not idea...

AI Technical Summary

Problems solved by technology

[0007] (2) There is a lack of research on the risk prediction of design change propagation based on the diffusion of design change node sets

This is because obtaining all possible propagation paths between Hub nodes or design nodes in the entire network cannot completely design node sets (design change node sets) for variants. Starting from the inherent characteristics of PD networks, the avalanche effect of design change propagation is explained. Because variant design is a design change propagation process under the condition of limited design resources, that is, design changes cannot be fully propagated during this process

[0008] (3) Lack of support for adaptive dynamic programming design changes in node sets

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