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Identifying strategic maintenance capacity for accidental damage occurrence in aircraft operations

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摘要 Airline operators face accidental damages on their fleet of aircraft as part of operational practice.Individual occurrences are hard to predict;consequently,the approach towards repairing accidental damage is reactive in aircraft maintenance practice.However,by aggregating occurrence data and predicting future occurrence rates,it is possible to predict future long-term(strategic)demand for maintenance capacity.In this paper,a novel approach for integration of reliability modelling and inventory control is presented.Here,the concept of a base stock policy has been translated to the maintenance slot capacity problem to determine long-term cost-optimal capacity.Demand has been modelled using a superposed Non-homogeneous Poisson Process(NHPP).A case study has been performed on damage data from a fleet of Boeing 777 aircraft.The results prove the feasibility of adopting an integrated approach towards strategic capacity identification,using real-life data to predict future damage occurrence and associated maintenance slot requirements.
出处 《Journal of Management Analytics》 EI 2019年第1期30-48,共19页 管理分析学报(英文)
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