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Dissertation Proposal

Multiobjective Simulation-Optimization in Military Aircraft Maintenance

Ville Mattila, M.Sc. (Tech.)

Systems Analysis Laboratory
Aalto University School of Science
P.O. Box 11100
00076 Aalto

September ??, 2018

This doctoral dissertation consists of the summary article and the following papers:

[I] [I] V. Mattila, K. Virtanen and T. Raivio (2008): Improving Maintenance Decision-Making in the Finnish Air Force through Simulation. Interfaces. Vol. 38, No. 3, pp. 187-201.
[II] [II] V. Mattila, K. Virtanen and R.P. Hämäläinen (2013): A Simulated Annealing Algorithm for Noisy Multiobjective Optimization. Journal of Multi-Criteria Decision Analysis. Vol. 20, No. (5-6), pp. 255-276.
[III] [III] V. Mattila and K. Virtanen (2014): Maintenance Scheduling of a Fleet of Fighter Aircraft through Multi-Objective Simulation-Optimization. SIMULATION: Transactions of The Society for Modeling and Simulation International. Vol. 90, No. 9, pp. 1023-1040.
[IV] [IV] V. Mattila and K. Virtanen (2011): Scheduling Fighter Aircraft Maintenance with Reinforcement Learning. Proceedings of the 2011 Winter Simulation Conference. Phoenix, AZ, pp. 2540-2551.
[V] [V] V. Mattila and K. Virtanen (2015): Ranking and Selection for Multiple Performance Measures using Incomplete Preference Information. European Journal of Operational Research. Vol. 242, No. 2, pp. 568-579.
[VI] [VI] V. Mattila, L. Muttilainen, K. Virtanen, J. Jylhä and V. Väisänen (2014): Optimizing Locations of Decoys for Protecting Surface-based Radar against Anti-Radiation Missile with Multi-Objective Ranking and Selection. Proceedings of the 2014 Winter Simulation Conference. Savannah, GA, pp. 2319-2330.