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Affiliation

Defence Research and Development Canada, Centre for Operational Research and Analysis, 60 Moodie Drive, Ottawa, Canada

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1 Papers

Naval Fleet Schedule Optimization Using an Integer Linear Program

Topics: Optimization; Scheduling; OR in National Defense/International Security

Authors: Megan Widmer , Michèle Fee and François-Alex Bourque

Affiliation: Defence Research and Development Canada, Centre for Operational Research and Analysis, 60 Moodie Drive, Ottawa, Canada

Digital Object Identifier: 10.5220/0012272200003639

Proceedings of ICORES 2024, ISBN: 978-989-758-681-1

Quick Abstract

To inform decisions about future fleet planning, a way to model asset availability over time is needed. To accomplish this, a tool was developed that generates optimized fleet schedules from simplified operations and maintenance cycles. By repeating these cycles and offsetting them from asset to asset, it is possible to generate schedules that meet a set of fleet availability requirements. Target schedule characteristics were encoded in an Integer Linear Program (ILP) and solved using the PuLP python package with the COIN-OR branch and cut solver. To evaluate the effectiveness of the approach, fleet schedules for notional asset fleets were generated and compared qualitatively to those made using a genetic algorithm (GA) based tool that is currently in use. The ILP tool was found to produce schedules that met the requirements more consistently than the GA.