The work aims to optimize the process arrangement of airborne bundling packaging line, improve the work balance and enhance the guarantee efficiency. Aiming at the airborne bundle packaging line designed according to the current airborne bundle packaging method, the mathematical model and design algorithm of the airborne bundle packaging line balance problem were established based on the genetic algorithm. The process of the airborne bundle packaging line was optimized by Matlab algorithm, and the minimum production beat, balance rate, and smoothness index and other indicators were compared before and after optimization. According to the comparative analysis of key indicators, compared with the minimum production beat before optimization, the improved airborne bundle packaging line based on the genetic algorithm was shortened by 125 seconds, the balance rate increased by 12.9%, and the smoothness index was reduced by 134.66. The mathematical model and optimization algorithm for the balance problem of airborne bundle packaging lines constructed based on the genetic algorithm are feasible. After optimization, the work balance and guarantee efficiency can be improved well, which can provide reference for improving the guarantee conditions of airborne bundle packaging.