Multi Level Inventory Optimization of Repairable Spare Parts Based on Improved Particle Swarm Optimization
Aiming at the problem that marginal optimization algorithm of METRIC model for Multi-level Inventory of repair-able spare parts is not effective,an improved particle swarm optimization algorithm is proposed to solve the model.Based on the analysis of the supply and support process of repairable spare parts,a METRIC model is established.With the minimum support cost as the optimization objective and the system availability as the constraint condition,an improved particle swarm optimization algorithm is used to find the optimal allocation scheme of spare parts among all levels of warehouses.The improved particle swarm optimization algorithm dynamically adjusts the inertia weight and learning factor,and adds a penalty function to im-prove the convergence speed and optimization results.Finally,the marginal optimization algorithm is compared with an example.The results show that the support cost of the improved PSO algorithm is reduced by 5.8%compared with the marginal optimiza-tion algorithm under the same availability constraints,which has certain advantages in solving the Multi-level inventory optimi-zation of equipment repairable spare parts.
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NSTL
万方数据
维普
