Multi-stage Design Changes Propagation Path Optimization For D Company’s Healthcare Call System

In today’s rapidly changing market,product design changes have become essential for businesses to ensure timely response to changing customer needs and to adapt to technological developments.When making design changes,businesses should not only consider the structural and functional relationships between product components,but also take into account manufacturing issues in the subsequent production process and the cost of component replacement in the supply chain to avoid increasing downstream costs due to product design changes.For D enterprise medical call system of this product,the survey found that there are design change task execution time cycle is long,cost waste,communication repeatedly,this study based on the complex network knowledge,built three network model: complex product parts network,production associated network and supply associated network,using mapping theory,build the multi-stage design change network.This thesis proposes multi-stage design change dissemination,that is,the design change dissemination caused by the first stage drawing design stage and the second stage production implementation stage,in which the production implementation stage includes the procurement link and production link.In the component network,when a node undergoes design changes,the changes propagate within the network.The production association network maps and locates the component node where design changes occur,and studies the impact and propagation of the changes in the network.Similarly,the supplier association network locates the corresponding supplier node for the component node where design changes occur,and studies the impact of component design changes on suppliers.In order to seek the optimal design change path,the evaluation index of the optimization model takes the multi-stage node degree of importance,multi-stage change task execution time,multi-stage change transmission probability and multi-stage change cost as the evaluation index,establish the solution formula of the optimization model and build the optimization model of the design change path.After analyzing and studying the optimization algorithm of design change propagation path,the mixed genetic ant colony algorithm was selected to solve the optimization model of design change propagation path,and then the optimized design change scheme was obtained.Compared with the actual change cost budget,the average optimization rate of change cost is 16.80%,and the average optimization rate of task execution time is 10.37%.Compared with the single-stage design change transmission optimization scheme,the change transmission intensity is reduced by 7.04%.The rationality and superiority of the proposed method are verified through comparative analysis.This study aims to combine complex network theory with direct mapping,construct a multi-stage network model,and solve the modified propagation path optimization model by genetic ant colony mixture algorithm.This method can help enterprises to effectively optimize the design of change transmission path,reduce the change cost and time,and improve production efficiency and supply chain stability.