Print Email Facebook Twitter Application of a greedy algorithm to military aircraft fleet retirements Title Application of a greedy algorithm to military aircraft fleet retirements Author Newcamp, Jeffrey (TU Delft Air Transport & Operations) Verhagen, W.J.C. (TU Delft Air Transport & Operations) Udluft, H. (TU Delft Air Transport & Operations) Curran, R. (TU Delft Air Transport & Operations) Date 2017 Abstract This article presents a retirement analysis model for aircraft fleets. By employing a greedy algorithm, the presented solution is capable of identifying individually weak assets in a fleet of aircraft with inhomogeneous historical utilization. The model forecasts future retirement scenarios employing user-defined decision periods, informed by a cost function, a utility function and demographic inputs to the model. The model satisfies first-order necessary conditions and uses cost minimization, utility maximization or a combination of the 2 as the objective function. This study creates a methodology for applying a greedy algorithm to a military fleet retirement scenario and then uses the United States Air Force A-10 Thunderbolt II fleet for model validation. It is shown that this methodology provides fleet managers with valid retirement options and shows that early retirement decisions substantially impact future fleet cost and utility. Subject Aircraft costAircraft retirementFleet managerRetirement model To reference this document use: http://resolver.tudelft.nl/uuid:9b0ec53c-a1ad-4543-bcbc-e60e8d94bd8d DOI https://doi.org/10.5028/jatm.v9i3.818 ISSN 1984-9648 Source Journal of Aerospace Technology and Management, 9 (3), 357-367 Part of collection Institutional Repository Document type journal article Rights © 2017 Jeffrey Newcamp, W.J.C. Verhagen, H. Udluft, R. Curran Files PDF 2175_9146_jatm_v9i3818.pdf 1.54 MB Close viewer /islandora/object/uuid:9b0ec53c-a1ad-4543-bcbc-e60e8d94bd8d/datastream/OBJ/view