Computing a Multi-Location Aircraft Fleet Mix

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Authors
  1. Wesolkowski, S.
  2. Patchell, G.
  3. Dwarkan, A.
Corporate Authors
Defence Research and Development Canada, Centre for Operational Research and Analysis, Ottawa ON (CAN);Waterloo Univ, Waterloo ONT (CAN);Ottawa Univ, Ottawa ONT (CAN)
Abstract
The Canadian Armed Forces periodically examines aircraft, ship or ground vehicle fleets to determine if they need to reduce, keep the same or increase the number of platforms in their fleets. We adapt previous work on fleet estimation and multi-objective optimization to compute a Pareto-optimal set of fleets at multiple locations, taking into account mission scheduling. We apply our model, which uses a genetic algorithm based on NSGA-II, to a sample of notional scenarios to demonstrate the effectiveness of the approach.
Keywords
fleet mix;multi-location;optimization;multi-objective optimization
Report Number
DRDC-RDDC-2017-P122 — External Literature
Date of publication
01 Dec 2017
Number of Pages
13
Reprinted from
7th International Conference on Operations Research and Enterprise Systems (ICORES)
DSTKIM No
CA045547
CANDIS No
805968
Format(s):
Electronic Document(PDF)

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