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Innovative application of LSS in aircraft maintenance environment

机译:LSS在飞机维修环境中的创新应用

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Purpose - The purpose of this paper is to eliminate the wastes and inefficient procedures in the maintenance organization of aircraft so as to reduce its downtime and increase mission availability. Design/methodology/approach - Customized lean Six Sigma (LSS) was applied at the task level and servicing cycle level to reduce the task content, cycle length and resources in servicing. The loading of the servicing facility was simulated through a simulation program developed from a statistical analysis of historical data for validating/simulating/determining optimum loading of servicing facility with refined tasks, reduced cycle length and resources. In simulation, the optimum combination of manpower, resources and infrastructure, at the facility level was determined through sensitive analysis and design of experiments (DoE). Findings - Optimization at the task level and its re-organization at the servicing cycle level reduced the cycle length by 55-68 per cent and manpower resources by 26 per cent. This further reduced facility-level manpower by 25 to 40 per cent, capacity requirements by more than 33 per cent and annual aircraft downtime by 78 per cent. The approach reduced the average number of aircraft undergoing servicing at each airbase at any time from 2.35 to just 0.76 and increased the mission availability to 20 per cent. Originality/value - The hallmark of the paper has been the design of LSS approach from structured historical data and its validation through innovative simulation. The multi-pronged bottom-up approach practically bundles all wastes resident in the maintenance organization. The paper provides cursory approach to lean practitioners in the elimination of wastes in the maintenance of capital assets like aircraft.
机译:目的-本文的目的是消除飞机维护组织中的浪费和低效的程序,以减少其停机时间并提高任务的可用性。设计/方法/方法-在任务级别和维修周期级别应用了定制的瘦六西格码(LSS),以减少任务内容,周期长度和维修资源。通过对历史数据进行统计分析而开发的仿真程序,可以对维修设施的负载进行仿真,以验证/模拟/确定维修任务的最佳负载,缩短的周期长度和资源。在仿真中,通过敏感的分析和实验设计(DoE)确定了设施级别的人力,资源和基础设施的最佳组合。调查结果-在任务级别进行优化并在服务周期级别进行重组,从而使周期长度减少了55%至68%,人力资源减少了26%。这进一步将设施级的人力减少了25%至40%,容量需求减少了33%以上,飞机年度停机时间减少了78%。这种方法将随时在每个空军基地进行维修的飞机的平均数量从2.35减少到0.76,并将任务可用性提高到20%。原创性/价值-本文的标志是根据结构化历史数据设计LSS方法,并通过创新仿真进行验证。自下而上的多管齐下方法实际上将维护组织中的所有废物都捆绑在一起。本文为精益从业者提供了粗略的方法,以消除维护飞机等资本资产中的浪费。

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