According to the actual demand of large axial milling depth of the turning roller frame of an enterprise,under the requirement of total milling depth and machining accuracy,an allocation mathematical model with tool failure accumulation rate and total milling time as the optimization target was established to realize the intelligent decision on the axial milling depth allocation scheme.The optimization results were processed by variable-length encoding of axial milling depth assignment,rewriting of genetic operator crossover and variation,and using a weighting method.The results show that a maximum reduction of 16.5% in the target value can be obtained by the genetic algorithm with variable length coding compared to the traditional average distribution method.This method can improve the production efficiency and reduce the cost of the enterprise.