Joint replenishment problem of military aircraft consumptive items under resource constraint

The consumptive item supply support which is very important for military aircraft integrated logistic support is studied based on the multi-item joint replenishment. According to the aircraft support practice the stochastic joint replenishment model is expanded and a consumptive item stochastic joint replenishment model under resource restriction is established. With consideration of the limitation of stochastic joint replenishment iterative algorithm when processing the resource constraint problem the range of the basic cycle time multiple is modified. A new improved adaptive genetic algorithm is proposed based on the genetic population characteristics the individual characteristics and the population evolution phase. An example is simulated and analyzed based on some literatures.