Fleet Management Decision Making With Individual Aircraft Tracking Data

Jeff Newcamp, Wim Verhagen, Ricky Curran

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

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Abstract

Individual aircraft tracking data can be used by aircraft fleet managers to detect patterns in historical usage as a means to aid aging aircraft decision-making. This work tackles two aspects of applying these tracking data: investigating retirement patterns and assessing how base assignment can impact usage. The A-10, C-17 and F-35 acquisition schedules were analyzed to set the expectation for retirement forecasting. Then three types of retirement patterns were assessed - the Cliff, Multi-Step and Ramp - and the merits of each are presented. Equivalent flight hours were used as an approximation for fatigue life expended in the analysis of retirement patterns in tracking data. A candidate set of tracking data was investigated to uncover base usage variations across a network. The dissimilar mission type requirements at each base led to unique loading profiles for aircraft at each of the bases in the network. These findings lead to the natural conclusion that base assignment can be used as a way to modify the loading accumulation on individual tail numbers and across a fleet.
Original languageEnglish
Title of host publicationProceedings of the 35th Conference and 29th ICAF Symposium – Nagoya, 7–9 June 2017
Number of pages9
Publication statusPublished - 2017
Event35 Conference and 29th International Committee on Aeronautical Fatigue Symposium - Winch Aichi, Nagoya, Japan
Duration: 5 Jun 20179 Jun 2017
Conference number: 29
http://icaf2017.org/index.html

Conference

Conference35 Conference and 29th International Committee on Aeronautical Fatigue Symposium
Abbreviated titleICAF 2017
CountryJapan
CityNagoya
Period5/06/179/06/17
Internet address

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    Newcamp, J., Verhagen, W., & Curran, R. (2017). Fleet Management Decision Making With Individual Aircraft Tracking Data. In Proceedings of the 35th Conference and 29th ICAF Symposium – Nagoya, 7–9 June 2017