| The current manufacturing environment are facing the challenges of the increasing variety of customised,short product lifecycle and dynamic market demand,etc.Reconfigurable manufacturing system(RMS)are within the Next Generation Manufacturing Systems(NGMSs)and can quickly and effectively change production capacity and functions through configuration reconfiguration,which makes it becomes one of the advanced paradigms for future manufacturing systems.Unlike the design foundations of traditional manufacturing systems,RMSs is built around product families with the goal of maintaining a balance between flexibility and productivity for multiple product variations within the same product family.Aiming at the problem that the existing RMS design technology lacks the integrated and systematic configuration design method for product family,this paper combines product family design and configuration design organically,and studies the configuration design problem of reconfigurable production flow lines based on product family,which provides a method reference for completing production tasks with low cost and high efficiency and determining the optimal production line configuration scheme.In this paper,the configuration design model of reconfigurable production flow lines based on product family is aimed at improving the integrated decision-making ability of reconfigurable manufacturing systems,and belongs to the two-stage design model of product family design and production flow lines configuration design.In the first stage product family design scheme,a new similarity coefficient that considers product parallel processes,reconfigurable equipment capabilities and product requirements on product grouping is proposed.Then the similarity between products is calculated based on the improved Needleman-Wunsch algorithm and finally the cluster analysis of product family is realized by Ward hierarchical clustering algorithm.The second stage combines the product grouping results to plan the production flow lines configuration scheme.Aiming at the key indicator of convertibility,a multi-objective programming model that minimizes configuration cost and maximizes configuration convertibility is constructed,and constraints such as production function,capacity,configuration space,and investment are refined.At the same time,in order to find the optimal planning scheme for balancing multiple objectives,the improved adaptive fast non-dominated sorting genetic algorithm(ANSGA-II)is used to obtain the feasible pareto solution set,and then the technique for order preference by similarity to an ideal solution method(TOPSIS)is introduced to obtain the optimal production flow lines configuration scheme for the product family.The results of numerical example analysis shows that the model constructed in this paper and the selected algorithm are effective.The paper proposes the idea of hierarchical planning of product family design and production line configuration,and gives a system design method for reconfigurable production flow lines configuration including "problem definition,condition description,model planning,algorithm solution,optimal solution selection".The constructed two-stage design model of product family design and production flow lines configuration takes configuration cost and convertibility as the core,and solves the problem of insufficient consideration of important influencing factors of existing configuration design,which alos provides a new idea for product family-oriented configuration design decision of reconfigurable manufacturing system. |