Multi-Echelon Inventory Allocation of Civil Aircraft Spare Parts Considering Maintenance Ratio

• Format: Article
• Language: zho
• Published: The Northwestern Polytechnical University 2018-06-01
• Series: Xibei Gongye Daxue Xuebao
• Subjects: maintenance ratio; multi-echelon inventory allocation; metric model; marginal analysis method; civil aircraft spare parts; constrained optimization; cost reduction
• Online Access: https://www.jnwpu.org/articles/jnwpu/pdf/2018/03/jnwpu2018363p582.pdf

A multi-echelon inventory allocation technique with maintenance ratio for civil aircraft spare parts was proposed in this paper. Multi-echelon inventory allocation model was established, which integrates maintenance rate into METRIC (Multi-echelon technique for recoverable item control) model, and then marginal analysis method was applied to solve this model and accomplish multi-echelon inventory allocation of spare parts. Firstly, the theory of multi-echelon inventory allocation model with maintenance ratio was elaborated, and the mathematical model was established with the fleet availability as the optimization objective, the cost and the safeguard probability as the constraints. Secondly, the procedure of solving multi-echelon inventory allocation model considering the influence of maintenance ratio is discussed based on the marginal analysis method. Thirdly, landing gear LRU (Line repairable units) of a typical civil aircraft were selected as the research object, multi-echelon inventory allocation was investigated by considering maintenance ratio. The analysis results show that the minimum safeguard cost and fleet availability are respectively 2759833 dollars and 0.9806, and the number of LRU of multi echelon inventory allocation are obtained under the condition of satisfying the constrained optimization. The feasibility and effectiveness of the developed method are verified by comparing the traditional analysis method. This paper provides guidance for the accurate allocation of multi echelon inventory optimization for maintenance resources on the premise of reasonable cost reduction.