Research On The Inventory Control And Optimization Of Aviation Spares Based On Intelligent Optimization Algorithm

At present,the Recommended Spare Parts List which is provided by aircraft manufacture is still taken as the main basis to purchase aviation spares by most airlines,but there is a serious problem that lots of aviation spares would be backlogged in this way,so that both of the inventory utilization rate and the turnover rate are very low,and the backlog of aviation spares would cost lots of money,which hampers the business running of airlines.Therefore, a scientific and effective aviation spares demand forecast and the inventory optimization of aviation spares are the key issues that how to reduce the capital occupied and how to increase economic benefit for all airlines.The main work of this paper is as follows.At first,on the aviation spares requirement forecast, forecast models are build from 2 angles in this paper,one is based on the life function of aviation spares,the other one is based on time series.After simulation and comparison with each other,this paper summarizes their advantages and weaknesses.Secondly,on the inventory optimization of aviation spares, most common methods to solve this issue are based on linear programming model without considering the ensuring rate of the whole aviation spares system.To slove this problem,expensive repairable aviation spares as the research subject, considering the overall cost and the ensuring rate of the whole aviation spares system,2 new models from the definition of aviation spares ensuring is built,which are solved by genetic algorithm. The results suggest that the new models in this paper can reduce the occupation cost and the inventory of aviation spares a lot,compared to the number of spare parts by the recommended spare parts list from Boeing company,at the same time it can ensure the aviation spares ensuring rate very well.