面向需求不确定性的飞机零部件可靠性库存管理

Fauzul Rezy Oenzil, D. Ishak
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摘要

为了降低库存成本,飞机备件由于其独特的特性和昂贵的价格,必须在较短的周转时间内处理。为了提高效率,飞机维修成本约占航空工业总运营成本的13%,因此通过准备最佳备件供应来降低飞机维修成本是可能的。当飞机在运行中出现部件故障时,可靠地获取部件和组件对航空公司保持运营一致性至关重要。然而,由于各种因素,零件的即时可用性并不总是得到保证。航空公司必须探索如何通过各种方法来管理库存,以尽量减少干扰。航空公司运营中发生的延误事件是至关重要的,飞机部件在飞行过程中出现故障也是必不可少的。这可能导致飞机在地面(AOG)的情况,飞机无法操作,直到维修。连锁反应可能包括罚款、收入损失和运输成本。即使是半天不能操作一架飞机也会产生很大的成本影响。虽然预测和预防所有组件故障和缺陷是不可能的,但今天数据分析的复杂性,以及零件供应流程的发展,已经允许减轻一些故障和AOG事件。因此,为了保证几项盈利资产的维修有效性和使用,控制飞机库存成为一项重要的活动。过高的备件库存会造成较高的库存成本,并对现金流产生影响。同时,如果备件不足,可能会造成航班延误或航班取消,成本很高,对航空公司的形象也会产生负面影响。正确的库存模型来获得适当的平衡是很重要的,因为航空业需要大量的备件,其中一些价格昂贵。一个可靠的库存管理必须有定期的库存控制或定期的周期盘点。为了控制航空和维修部门的备件库存,必须满足几个要求。为了满足这些需求,需要一个软件解决方案来代替手工输入到管理系统中。本文主要研究基于零部件可靠性分析的飞机备件需求不确定性随机库存管理,为采购部门提供数据输入进行采购。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inventory Management Based on Component Reliability Toward Uncertainty of Demand in Aircraft Spare Parts
For the purpose of reducing the inventory costs, aircraft spare parts must be handled within a short Turn Around Time (TAT) due to these parts have unique characteristic with expensive prices. And for efficiency purposes, it is possible to reduce the aircraft maintenance costs by preparing the optimal spare parts supplies, because the aircraft maintenance in aviation industry has costs around 13% of the total operational costs. In the event of component failure while an aircraft is operating, the reliable access to parts and components is essential for airlines to maintain consistency in operations. Instant part availability, however, is not always guaranteed due to various kinds of factors. How airline operators must explore to minimize the disruption via various approaches they can adopt to manage the inventory. An event that delays occurred in an airline's operation is a vital or ‘no-go’ aircraft component failing during flight is also essential. This can result in an aircraft-on-ground (AOG) situation, with the aircraft unable to operate until repaired. The knock-on effect can include penalties, lost revenue and shipping costs. Inability to operate an aircraft even for a half-day can have large cost implications. While it is not possible to predict and prevent all component faults and defects, the sophistication of data analysis today, alongside evolution of parts supply processes, has allowed a number of failure and AOG events to be mitigated. Therefore, to ensure the maintenance effectiveness and use of several profitable assets, controlling the aircraft inventory becomes an important activity. The excessive spare parts inventory will cause high inventory costs and make an influence to cash flow. Meanwhile, if spare parts insufficient, it can cause flight delays or flight cancellations with high cost and a negative impact to the image of the airline. The right inventory model to get a right balance is important, because the aviation industry requires a large number of spare parts and some of which have expensive prices. A reliable inventory management must have regular stock controls or routine cycle counts. In order to control the spare parts inventory in the aviation as well as the maintenance department, there are several requirements that must be met. And to meet these requirements, a software solution is needed to substitute manual input into the administrative system. The research in this paper is focus on studying the stochastic inventory management toward uncertainty of demand in aircraft spare parts based on component reliability analysis, so that we can give data input to purchasing department for procurement.
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