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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

ville.mattila@aalto.fi

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.