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Retirement optimization through aircraft transfers and employment. / Newcamp, Jeffrey; Verhagen, W. J.C.; Santos, Bruno F.; Curran, Richard.

In: Journal of Air Transport Management, Vol. 79, 101680, 2019.

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@article{a4f85078158640068ea3b6b84d4df783,
title = "Retirement optimization through aircraft transfers and employment",
abstract = "Military aircraft retirements are an afterthought for many lifecycle planners. More active management of end-of-life fleets can yield increased confidence in fleet capability and retirement timelines. This work provides fleet managers with a tool to manage remaining aircraft flight hours to yield a desired fleet retirement pattern. It solves an equivalent flight hour minimization problem using a mixed-integer linear programming model for a military aircraft fleet having a network with basing and mission type constraints. The model minimizes differences in remaining equivalent flight hours for individual aircraft in future years, thereby allowing a fleet manager to alter the timeline for retirement of individual aircraft. A relocation cost is applied to discourage excessive, costly aircraft relocations. The United States Air Force A-10 Thunderbolt II aircraft is used as a case study while disruptions such as deployments are modeled to show the methodology's robustness. This work proves that a fleet of aircraft with dissimilar utilization histories and varying amounts of remaining useful lifetime can be actively managed to change the time at which individual aircraft are ready for retirement. The benefit to fleet managers is the ability to extract additional lifetime out of their aircraft prior to retirement.",
keywords = "Aircraft retirement, Aircraft transfers, Military aircraft, Mixed-integer linear programming",
author = "Jeffrey Newcamp and Verhagen, {W. J.C.} and Santos, {Bruno F.} and Richard Curran",
year = "2019",
doi = "10.1016/j.jairtraman.2019.101680",
language = "English",
volume = "79",
journal = "Journal of Air Transport Management",
issn = "0969-6997",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Retirement optimization through aircraft transfers and employment

AU - Newcamp, Jeffrey

AU - Verhagen, W. J.C.

AU - Santos, Bruno F.

AU - Curran, Richard

PY - 2019

Y1 - 2019

N2 - Military aircraft retirements are an afterthought for many lifecycle planners. More active management of end-of-life fleets can yield increased confidence in fleet capability and retirement timelines. This work provides fleet managers with a tool to manage remaining aircraft flight hours to yield a desired fleet retirement pattern. It solves an equivalent flight hour minimization problem using a mixed-integer linear programming model for a military aircraft fleet having a network with basing and mission type constraints. The model minimizes differences in remaining equivalent flight hours for individual aircraft in future years, thereby allowing a fleet manager to alter the timeline for retirement of individual aircraft. A relocation cost is applied to discourage excessive, costly aircraft relocations. The United States Air Force A-10 Thunderbolt II aircraft is used as a case study while disruptions such as deployments are modeled to show the methodology's robustness. This work proves that a fleet of aircraft with dissimilar utilization histories and varying amounts of remaining useful lifetime can be actively managed to change the time at which individual aircraft are ready for retirement. The benefit to fleet managers is the ability to extract additional lifetime out of their aircraft prior to retirement.

AB - Military aircraft retirements are an afterthought for many lifecycle planners. More active management of end-of-life fleets can yield increased confidence in fleet capability and retirement timelines. This work provides fleet managers with a tool to manage remaining aircraft flight hours to yield a desired fleet retirement pattern. It solves an equivalent flight hour minimization problem using a mixed-integer linear programming model for a military aircraft fleet having a network with basing and mission type constraints. The model minimizes differences in remaining equivalent flight hours for individual aircraft in future years, thereby allowing a fleet manager to alter the timeline for retirement of individual aircraft. A relocation cost is applied to discourage excessive, costly aircraft relocations. The United States Air Force A-10 Thunderbolt II aircraft is used as a case study while disruptions such as deployments are modeled to show the methodology's robustness. This work proves that a fleet of aircraft with dissimilar utilization histories and varying amounts of remaining useful lifetime can be actively managed to change the time at which individual aircraft are ready for retirement. The benefit to fleet managers is the ability to extract additional lifetime out of their aircraft prior to retirement.

KW - Aircraft retirement

KW - Aircraft transfers

KW - Military aircraft

KW - Mixed-integer linear programming

UR - http://www.scopus.com/inward/record.url?scp=85066508747&partnerID=8YFLogxK

U2 - 10.1016/j.jairtraman.2019.101680

DO - 10.1016/j.jairtraman.2019.101680

M3 - Article

AN - SCOPUS:85066508747

VL - 79

JO - Journal of Air Transport Management

JF - Journal of Air Transport Management

SN - 0969-6997

M1 - 101680

ER -

ID: 54339675