关键词: 大规模定制, 混流装配线, 平衡, 混合遗传算法

Abstract: To deal with mixedmodel assembly balance for mass customization, characteristics of mixedmodel assembly for mass customization were analyzed, and factors such as workstation numbers, workstation load and assembly efficiency were also taken into consideration. Balance model of mixedmodel assembly oriented to mass customization was proposed, and a hybrid genetic algorithm was developed. To prevent the premature convergence problem and improve the globaloptimization capability, Genetic Algorithm (GA) was combined with Simulatedannealing Algorithms (SA), and the adaptive crossover and mutation probabilities method were also employed. Results of the simulation indicated the proposed hybrid GA had better efficiency and optimization performance than simple GA and SA, and would be one effective way to optimize the mixedmodel assembly line balance.

Key words: mass customization, mixedmodel assembly line, balance, hybrid genetic algorithm