Optimizing an integrated home care problem: a heuristic-based decision-support system

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• dc.contributor.author Vieira, Bruno
• dc.contributor.author De Armas, Jésica
• dc.contributor.author Ramalhinho-Lourenço, Helena
• dc.date.accessioned 2024-01-09T07:24:26Z
• dc.date.available 2024-01-09T07:24:26Z
• dc.date.issued 2022
• dc.description.abstract With the continuous increase in longevity worldwide, the elderly population requiring home health and social care has been continuously growing over the years. Planning combined home health and social services has been shown to be a very difficult task for current decision-makers, not only due to the high number of working regulations and user-related necessities that need to be considered but also due to the need for synchronizing both types of services. Moreover, it is highly desirable that users are visited by the fewest number of different caregivers in the same kind of appointments (continuity of service). The complex and multi-objective nature of the synchronized home health and social care routing and scheduling problem has called for the development of automated planning systems that are able to obtain efficient solutions in reasonable computational times. In this work, we propose two heuristic methods to optimize routing and scheduling decisions for this problem with an extensive set of constraints and objectives. We use (real) data and information from current care providers in the Barcelona area to build and test our models and provide insights into parameter tuning and the trade-off between the associated operating costs, continuity of service and number of unscheduled services. The proposed tool is made available via a web-based decision support system that allows decision-makers to obtain efficient solutions in an intuitive, complete, and timely manner.
• dc.description.sponsorship This work has been supported by the Ministry of Science, Innovation and Universities of the Government of Spain (Ministerio de Ciencia, Inovacion Universidades (MCIU), Agencia Estatal de Investigación (AEI), Fondo Europeo de Desarollo Regional (FEDER)) (RTI2018-095197-B-I00) and “la Caixa” Banking Foundation under the project code LCF/PR/SR19/52540014.
• dc.format.mimetype application/pdf
• dc.identifier.citation Vieira B, de Armas J, Ramalhinho H. Optimizing an integrated home care problem: a heuristic-based decision-support system. Eng Appl Artif Intell. 2022;114:105062. DOI: 10.1016/j.engappai.2022.105062
• dc.identifier.doi http://dx.doi.org/10.1016/j.engappai.2022.105062
• dc.identifier.issn 0952-1976
• dc.identifier.uri http://hdl.handle.net/10230/58649
• dc.language.iso eng
• dc.publisher Elsevier
• dc.relation.ispartof Engineering Applications of Artificial Intelligence. 2022;114:105062
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/RTI2018-095197-B-100
• dc.rights © 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Operations research
• dc.subject.keyword Home social care
• dc.subject.keyword Home health care
• dc.subject.keyword Greedy heuristics
• dc.subject.keyword Multi-criteria decision making
• dc.subject.keyword Scheduling and routing
• dc.title Optimizing an integrated home care problem: a heuristic-based decision-support system
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion