Research on Parametric Programming Method of Product Family Based on Master-Slave Association Optimization
Aiming at the interdependence and restriction of commonality and individuality in product family optimization design,the parameter optimization planning technology of master-slave association for product family is studied.Based on sensitivity analysis,a method for identifying and dividing product family parameters is established,and a bilevel programming model for optimization problem is established according to the master-slave correlation characteristics of product family design parameters.In this paper,a hybrid algorithm combining polynomial response surface fitting and genetic algorithm is proposed to realize bi-level programming.In the lower layer,polynomial response surface method is used to fit the double-layer optimization objective into a single-layer optimization objective,and the optimization of common parameters of product family is realized in the upper layer.Then,the parameters of variant products are optimized by using genetic algorithm in the lower layer through the transfer of relaxation constraint relation of adaptive parameters in the upper layer.Taking the product family planning of crane drum compo-nents as an example,based on the proposed master-slave association optimization method,the optimal value of product param-eters of individual variant is obtained,which provides a reference for the product family optimization design of crane drum prod-ucts and similar products.