Abstract: According to the characteristic and complexity of scale-based product family based on multi-platform,a two-level multi-objective concurrent collaborative optimization algorithm are presented to solve multi-platform based product family model during a single optimization process.The simulation experiment shows that the presented method in the case of unknown platform variables can simultaneously determine the optimal settings for the product platform and corresponding product family,by automatically varying the amount of plat form commonality within the scale-based product family.

Key words: mass customization, scale-based product family, multi-objective optimization, genetic algorithm