Abstract: An effective and controllable product characteristic design change can improve product quality, promote product innovation, and meet customer needs. In the product design process, due to the intricate connections between product characteristics, a change in the design of one characteristic may lead to a series of changes in other characteristics, thereby triggering the propagation of changes and the re-planning of the propagation path. To this end, reconstructs the Product characteristic linkage set (PCLS) and Design change technology set (DCTS) based on the Vector space model (VSM). The two sets of change influence domains for PCLS-DCTS are obtained through similarity calculation, which reduces the scope of design change propagation, and constructs the Vector space reconstruction model (VSRM) of design change propagation; Aiming at the computational complexity of the propagation intensity of product characteristic design changes, the Lagrangian relaxation algorithm (LRA) is used to optimize the propagation path of the VSRM change influence domain. And update the lower bound of the dual function to speed up the solution of the model. Finally, take the characteristic design change experiment of the ultrasonic knife transducer as an example. Experimental results show that VSRM combined with LRA can quickly and effectively screen out the optimal design change propagation path. It can provide decision-making guidance for related engineering fields such as product design change propagation mechanism and propagation path optimization.

Key words: product characteristic linkage set, design change technology set, design change propagation, lagrangian relaxation algorithm, vector space reconstruction model