Research On Multi-Objective Optimization Method Of Propagation Path For Complex Product Design Change Based On Multiplex Network

In recent years,with the increasing diversification of customer demand,the gradual mature of product interactive innovation mode and the continuous improvement of product manufacturing processes,how to respond the dramatical change of external market through rapid upgrade of complex product has become one of urgently needed problems for many Chinese manufacturing enterprises.To prevent avalanche effect of design change propagation much as possible,and at same time reduce the negative impacts of design change propagation on research and development(R & D)time of as well as design cost,the optimization of design change propagation paths become core content of design change activities regarding complex product.Generally,the effective decision support for designers conduct design change activities was provided by reasonable design change propagation paths that also improve product quality,shorten R & D time and reduce overall cost.In view of this,how to select the optimal propagation path of design change before the formal implementation of design change activities has become an important issue for the academic and business communities.In this context,based on the function-behavior-structure correlation among parts of complex product,and setting optimization objective that including change propagation impact,change R & D time and change cost,this dissertation focused on how to select the optimal design change propagation paths.Firstly,on the basis of summarizing the relevant research status,this dissertation analyzed optimization mechanism of design change propagation paths: the related theories and concepts of the optimization problem for design change propagation paths were expounded;the functional-behavior-structure relationships of complex product and their various attributes as well as existing forms were analyzed based on FBS design process model;optimization process of design change propagation paths was summarized based on multiple networks;the connotation of taking change propagation influence,change R & D time and change cost as the optimal target in optimization of design change propagation paths was introduced.Secondly,on the basis of mechanism analysis,the two-stage optimization model of design change propagation paths was proposed: in the first stage,multiplex network theory was used to construct complex product representation model,and the evaluation index description of design change propagation paths that including paths change propagation intensity,change R & D time and change cost was set accordingly;in the second stage,a multi-objective 0-1 integer programming model for design change propagation paths was proposed,and the corresponding multi-objective programming processing strategy was determined.Thirdly,based on the standard genetic algorithm,an improved genetic algorithm using 0-1 coding,reverse learning operator and reversal operator was designed.Finally,the feasibility and effectiveness of the proposed method ?perspective and the improved genetic algorithm were verified though the optimization for design change propagation paths of the main engine of split type home air conditioner.The results show that:(1)compared with the traditional functional-structural association,the potential design change propagation paths were more fully identified and described by the functional-behavior-structural association;(2)the optimization scheme regarding design change propagation paths was significantly affected by the different weights of the evaluation indexes-paths change propagation intensity,change R&D time and change cost;(3)it also indicated that the incorporation of the aforementioned three factors into the optimization activities concerning design change propagation paths was beneficial for the limitation of design change propagation impacts,shortening design cycle,and reduction of product cost.