The Influence of Repair Quality on Aircraft Spare Part Demand Variability

Accurate estimation of spare part demand is challenging in the case intermittent or lumpy demand, characterised by infrequent occurrence and variability size. While prior research has considered effect exogenous variables on there a lack considering effects repair quality aggregated behaviour across fleets assets under influence multiple simultaneously acting drivers failure. This provides new insights towards problem estimating variable through modelling simulation multiple, drivers. In particular, contribution to state art introduced use Branching Poisson Process (BPP) model for generation conjunction with several The approach applied numerical study which involves component failure characteristics based real-life data from an aircraft maintenance, overhaul (MRO) provider. It shown that improvements drive down variance total number failures over time, outperform environmental terms generation.