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Authors: Rudivan Barbosa 1 ; Marcone Jamilson Freitas Souza 1 and Gilberto Miranda Junior 2

Affiliations: 1 Programa de Pós-graduação em Ciência da Computação, Universidade de Federal Ouro Preto, Ouro Preto, Brazil ; 2 Programação de Pós-graduação em Engenharia de Produção, Universidade Federal de Ouro Preto, Campus João Monlevade, Brazil

Keyword(s): Location-Allocation, Mammography Units, Bi-Objective Optimization.

Abstract: This work addresses the Bi-objective Mammography Unit Location-Allocation Problem. This problem consists in allocating mammography units satisfying two objectives and respecting the constraints of device capacity for screenings and the maximum travel distance for the service. The first objective function maximizes the coverage of exams performed by the allocated mammography devices, while the second function minimizes the total amount of equipment used. We introduce a mixed-integer linear programming bi-objective model to represent the problem and apply the Weighted Sum and Epsilon-constraint methods to solve it. The Epsilon-constraint method was able to generate better Pareto fronts. The instances used for testing come from real data from two Brazilian states obtained from the Brazilian Health Ministry.

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Paper citation in several formats:
Barbosa, R.; Jamilson Freitas Souza, M. and Miranda Junior, G. (2023). Mammography Unit Location: Reconciling Maximum Coverage and Budgetary Constraints. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-648-4; ISSN 2184-4992, SciTePress, pages 187-194. DOI: 10.5220/0011852200003467

@conference{iceis23,
author={Rudivan Barbosa. and Marcone {Jamilson Freitas Souza}. and Gilberto {Miranda Junior}.},
title={Mammography Unit Location: Reconciling Maximum Coverage and Budgetary Constraints},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2023},
pages={187-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011852200003467},
isbn={978-989-758-648-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Mammography Unit Location: Reconciling Maximum Coverage and Budgetary Constraints
SN - 978-989-758-648-4
IS - 2184-4992
AU - Barbosa, R.
AU - Jamilson Freitas Souza, M.
AU - Miranda Junior, G.
PY - 2023
SP - 187
EP - 194
DO - 10.5220/0011852200003467
PB - SciTePress

- Science and Technology Publications, Lda.
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