Validation of the SmartBasing aircraft rotation and retirement strategy

SmartBasing provides fleet managers tools with which to manage their end-of-life aircraft fleets. The principles of SmartBasing include reassigning aircraft to different bases and assigning aircraft to a new mix of mission types to actively manage the remaining useful lifetime of each aircraft in a fleet. This paper employs a single case study aircraft to validate the SmartBasing approach for a dynamic strategy for aircraft retirement. The United States Air Force’s A-10 Thunderbolt II was used for validation, because it is an aging aircraft fleet that experienced a partial fleet retirement in 2013. The efficacy of the SmartBasing principles was tested using the aircraft retired in 2013 by altering usage patterns and basing locations in the years leading to the 2013 retirement. It was shown that SmartBasing would have been a valid technique for managing the A-10 fleet prior to its partial retirement. Better aircraft utilization planning could have expended more residual aircraft lifetime prior to retirement, resulting in savings of more than 1.88 full aircraft lifetimes or over 83 million USD in aircraft acquisition costs.

[1]  Edward G. Keating †,et al.  Preface , 2002, Peptides.

[2]  Linda K. Nozick,et al.  Sizing the US destroyer fleet , 2002, Eur. J. Oper. Res..

[3]  Adam Redmer,et al.  Multiple objective optimization of the fleet sizing problem for road freight transportation , 2008 .

[4]  Mark A. Turnquist,et al.  A Model for Fleet Sizing and Vehicle Allocation , 1991, Transp. Sci..

[5]  Richard Curran,et al.  Correlation of mission type to cyclic loading as a basis for agile military aircraft asset management , 2016 .

[6]  Júnior Sousa Ribeiro,et al.  Proposed Framework for End-of-life Aircraft Recycling , 2015 .

[7]  Jephthah A. Abara,et al.  Applying Integer Linear Programming to the Fleet Assignment Problem , 1989 .

[8]  Wallace J. Hopp,et al.  Parallel machine replacement , 1991 .

[9]  Alan F. Karr,et al.  Two Models for Optimal Allocation of Aircraft Sorties , 1975, Oper. Res..

[10]  Matthew Dixon The Maintenance Costs of Aging Aircraft: Insights from Commercial Aviation , 2006 .

[11]  Jean-Philippe P. Richard,et al.  An Optimization Model for Empty Freight Car Assignment at Union Pacific Railroad , 2008, Interfaces.

[12]  Hanif D. Sherali,et al.  Airline fleet assignment concepts, models, and algorithms , 2006, Eur. J. Oper. Res..

[13]  Elizabeth Curda,et al.  Defense Management: DOD Needs to Improve Future Assessments of Roles and Missions , 2014 .

[14]  Hanif D. Sherali,et al.  Determining Rail Fleet Sizes for Shipping Automobiles , 2000, Interfaces.

[15]  J. C. Bean,et al.  Parallel replacement under capital rationing constraints , 1994 .

[16]  C. L. Guadagnino Evaluation of a Damage Accumulation Monitoring System as an Individual Aircraft Tracking Concept , 1982 .

[17]  Jordan Tama How an agency’s responsibilities and political context shape government strategic planning: evidence from US Federal agency quadrennial reviews , 2018 .

[18]  Yogesh Kumar Dwivedi,et al.  Trustworthiness of digital government services: deriving a comprehensive theory through interpretive structural modelling , 2018, Digital Government and Public Management.

[19]  J. David Smith,et al.  AN HISTORICAL PERSPECTIVE OF NET PRESENT VALUE AND EQUIVALENT ANNUAL COST , 1982 .