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Authors: Irène Abi-Zeid ; Michael Morin and Oscar Nilo

Affiliation: Operations and Decision Systems, Université Laval, Québec and Canada

Keyword(s): Search and Rescue, Decision Support System, Search Theory, Design Science Research, Optimal Search Planning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Operational Research ; Problem Solving

Abstract: In this project we constructed and evaluated research artifacts to support Search and Rescue (SAR) mission coordinators in planning searches for missing persons or objects at sea. An iterative heuristic based optimization model was formulated and implemented in a prototype that is integrated in a Decision Support System. Using representative examples, we show that the new planning method can help coordinators with the complex task of allocating search resources to search areas in a way that maximizes the chances of finding survivors quickly. Although developed for the Canadian Coast Guard, our method can be used in other countries. We followed Design Science Research guidelines and our design process was according to the Design Science Research Methodology. The research entry point was client and context initiated and beta testing with users is planned in the spring of 2019. It is expected that our innovative artifacts will contribute to improving the SAR system and saving more lives.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Abi-Zeid, I.; Morin, M. and Nilo, O. (2019). Decision Support for Planning Maritime Search and Rescue Operations in Canada. In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-372-8; ISSN 2184-4984, SciTePress, pages 328-339. DOI: 10.5220/0007730303280339

@conference{iceis19,
author={Irène Abi{-}Zeid. and Michael Morin. and Oscar Nilo.},
title={Decision Support for Planning Maritime Search and Rescue Operations in Canada},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2019},
pages={328-339},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007730303280339},
isbn={978-989-758-372-8},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Decision Support for Planning Maritime Search and Rescue Operations in Canada
SN - 978-989-758-372-8
IS - 2184-4984
AU - Abi-Zeid, I.
AU - Morin, M.
AU - Nilo, O.
PY - 2019
SP - 328
EP - 339
DO - 10.5220/0007730303280339
PB - SciTePress

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