A Solution Procedure for Fixed Mammography Unit Location-Allocation and Mobile Mammography Unit Routing Problems

Abstract

This paper addresses the Mammography Unit Location-Allocation and Mobile Mammography Unit Routing problems. The objective is to maximize coverage of the target population and cover unmet demand with fixed mammography units by using mobile units. It is proposed a sequential solution procedure for solving, in which the first problem is solved by using an exact method, and the second one through a heuristic algorithm with the uncovered municipalities from the first problem as input. This proposal was tested in three scenarios from the State of Minas Gerais, Brazil. The results show that the coverage of this state can be fully met with 84 additional mobile units, considering the current location of the fixed equipment and the restriction of the municipalities’ service to their healthcare micro-regions. However, if this requirement is not imposed, 42 units are sufficient. Finally, by allowing the equipment to be relocated, only nine units are needed.

Publication DOI: https://doi.org/10.5220/0013293700003929
Divisions: College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Applied AI & Robotics
Funding Information: The authors register their thanks to Centro Federal de Educação Tecnológica de Minas Gerais (CEFETMG), Universidade Federal de Ouro Preto (UFOP), Universidade Federal de Viçosa (UFV), Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais (IFMG), Aston University, Instituto Federal de Educação, Ciência e Tecnologia de Brasília (IFB), and to the Brazilian agencies Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, grants 428817/2018-1, and 311074/2023-5), Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG, grant PPM-CEX 676/17), and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, finance code 001 and grant 88881.934148/2024-01) for supporting the development of this work.
Additional Information: Copyright © 2025 by Paper published under CC license (CC BY-NC-ND 4.0)
Event Title: 27th International Conference on Enterprise Information Systems, ICEIS 2025
Event Type: Other
Event Dates: 2025-04-04 - 2025-04-06
Uncontrolled Keywords: Facility Location,Mammography Unit Location-Allocation Problem,Mobile Mammography Unit Routing Problem,Information Systems,Computer Science Applications,Information Systems and Management
ISBN: 9789897587498
Last Modified: 05 Feb 2026 08:01
Date Deposited: 15 Jan 2026 17:44
Full Text Link:
Related URLs: https://www.sci ... 013293700003929 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2026-01
Accepted Date: 2026-01-07
Authors: de Assis, Romário dos S.L.
de Campos, Marcos V.A.
Souza, Marcone J.F.
Souza, Maria A.L.
de Siqueira, Eduardo C.
Wanner, Elizabeth F. (ORCID Profile 0000-0001-6450-3043)
de Souza, Sérgio R.

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