Optimization model of spare parts inventory for civil aircraft based on marginal utility
-
摘要: 为了最大限度地发挥民机备件的保障作用, 使各种备件的库存水平最优, 在综合考虑备件的技术性、经济性与可获取性的基础上, 以备件缺货导致的民机平均维修等待时间为优化目标, 以总航材供应成本为约束条件, 建立了民机备件库存优化模型。在对备件单位成本的边际效用进行分析的基础上, 采用启发式算法对模型进行求解, 得到备件库存水平的优化方案。实例验证表明: 在给定供应成本约束条件下, 与仅依据各种备件保障率的计算结果相比, 实际维修等待时间缩短了11.5%, 库存备件资金降低了27.5%, 因此, 该模型是客观有效的, 可节约库存成本, 显著提高飞机的利用水平。Abstract: In order to maximize the guaranteed effect of spare parts for civil aircraft and optimize the inventory level of each item, an optimization model of the inventory was presented to optimize the mean maintenance latency time of aircraft, the provision cost of total spare parts was taken as the constraint of the model, and the technical characters, economic characters and provision parameters of spare parts were taken into account.A heuristic algorithm was given to solve the model based on the marginal utility analysis of spare part unit cost, so that the optimum project of the inventory was found.Compared with the result calculated by item approach, the mean latency time caused by the shortage of spare part is shortened by 11.5%, and spare part budget is reduced by 27.5%, so the model is validate and effective to economize inventory cost and improve the use level of aircraft.
-
表 1 备件参数与优化结果
Table 1. Parameters of spare parts and optimization result
序号 ESS 修复期限/d Ui/FH Bi/‰ Li/d Wi/d Qi Zi Di/＄ s′i si 1 3 3 600 0 90 25 5 0 6 540.00 4 3 2 2 3 75 000 0 71 15 1 0 3 048.00 2 1 3 3 727 999 60 0 1 0 502.86 6 8 4 1 38 000 999 90 0 5 0 2 340.00 3 3 5 2 10 9 000 0 270 15 14 0 3 210.00 3 0 6 1 17 000 100 90 25 4 0 4 052.66 3 3 7 1 17 000 999 90 0 4 0 1 127.59 3 4 8 2 1 30 000 999 60 0 32 30 66.70 30 30 9 2 32 000 0 90 15 6 0 3 627.72 2 2 10 1 153 846 0 90 10 1 0 8 982.00 2 1 
下载: 导出CSV
-
[1] SCHROEDER R G. Managerial inventory for mulations with stockout objectives and fiscal constraints[J]. Naval Research Logistics, 1974, 21(3): 375-388. doi: 10.1002/nav.3800210302 [2] COHEN M A, KLEI NDORFER P R, LEE H L, et al. Multi-item service constrained(s, S)policies for spare parts logistics systems[J]. Naval Research Logistics, 1992, 39(4): 561-577. doi: 10.1002/1520-6750(199206)39:4<561::AID-NAV3220390409>3.0.CO;2-5 [3] RUSTENBURG WD, VAN HOUTUMGJ, ZIJ M W H M. Spare parts management at complex technology based organizations: an agenda for research[J]. International Journal of Production Economics, 2001, 71(1/2/3): 177-193. [4] 王正元, 李瑾, 朱昱, 等. 基于备件保障率的备件运行量模型[J]. 兵工学报, 2006, 27(6): 1136-1139. doi: 10.3321/j.issn:1000-1093.2006.06.042WANG Zheng-yuan, LI Jin, ZHU Yu, et al. Spare supportingrate based model of carrying spares[J]. Acta Armamentarii, 2006, 27(6): 1136-1139. (in Chinese) doi: 10.3321/j.issn:1000-1093.2006.06.042 [5] TI MMERS B. Pooling van repareerbare wisselstukken tussen luchtvaartmaatschappijen[D]. Centrum voor Industrieel Beleid: Katholieke Universiteit Leuven, 1999. [6] SHERBROOKE C C. Optimal Inventory Modeling of Systems: Multi-Echelon Techniques[M]. Second Edition. MA: Kluwer Academic Publishers Norwell, 2004. [7] ALFREDSSON P, VERRIJDT J. Modeling emergency supply flexibility in a two-echelon inventory system[J]. Management Science, 1999, 45(10): 1416-1431. doi: 10.1287/mnsc.45.10.1416 [8] 唐应辉, 唐小我. 排队论: 基础与分析技术[M]. 北京: 科学出版社, 2006. [9] LITTLE J D C. Aproof of the queuing formula: L=λW[J]. Operations Research, 1961, 9(3): 383-387. [10] KARUSH W. Aqueuing model for aninventory problem[J]. Operations Research, 1957, 5(5): 693-703. doi: 10.1287/opre.5.5.693 [11] 伏宏勇. 航空备件计划模型与方法研究[D]. 北京: 北京航空航天大学, 2003. -
点击查看大图
表(1)
计量
- 文章访问数: 265
- HTML全文浏览量: 90
- PDF下载量: 322
- 被引次数: 0
