An optimization method for aviation spare parts configuration based on artificial bee colony algorithm

Abstract

The invention discloses an aviation spare part configuration optimization method based on an artificial bee colony algorithm, and belongs to the technical field of aviation spare part configuration. First construct the objective function fit=P / C, where C represents the total cost of purchasing and storing aviation spare parts, P represents the probability of equipment spare parts guarantee, and set the optimization function, then set the number of iterations, and use artificial bee colony algorithm Iterate to obtain the configuration quantities of various spare parts. The artificial bee colony algorithm adopted in the present invention not only has fast convergence speed, strong robustness, and is easy to implement, but also performs global and local searches in each iterative optimization process, increasing the probability of finding the optimal solution, and also to a certain extent The possibility of falling into a local optimal solution is avoided.

Description

technical field [0001] The invention belongs to the technical field of aviation spare parts configuration, and in particular relates to an optimization method for the configuration of aviation spare parts based on an artificial bee colony algorithm. Background technique [0002] Reasonable aviation spare parts configuration is an important factor to ensure the normal training and combat readiness of aviation equipment and restore the combat effectiveness of equipment after failure. The current aviation spare parts support work relies too much on the experience of managers for extensive management, which cannot meet the requirements of precise support. If there is too much spare parts inventory, the probability of spare parts support is easy to guarantee, but a lot of support funds are wasted; if the spare parts inventory is too small, the probability of spare parts support and the integrity of equipment combat readiness will be significantly reduced. Therefore, how to reaso...

AI Technical Summary

Problems solved by technology

The current aviation spare parts support work relies too much on the experience of managers for extensive management, which cannot meet the requirements of precise support

If there is too much spare parts inventory, the probability of spare parts guarantee is easy to guarantee, but a lot of guarantee funds are wasted; if the spare parts inventory is too small, the probability of spare parts guarantee and the integrity of equipment combat readiness will be significantly reduced

Therefore, how to reasonably determine the demand quantity of aviation spare parts and the configuration of different types of spare parts will directly affect the superiority of the supply guarantee system, and further affect the combat readiness and support costs of aviation equipment

The allocation of aviation spare parts is a relatively complex multi-constraint, nonlinear combinatorial optimization problem. The optimization process is very complicated, the calculation scale is large, the convergence speed is slow, and it is easy to fall into the local optimal solution.

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