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The sustainable home health care process based on multi-criteria decision-support

2023Artigo científico Acesso aberto
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dc.contributor.authorAlves, Filipe
dc.contributor.authorCosta, Lino
dc.contributor.authorRocha, Ana Maria A.C.
dc.contributor.authorPereira, Ana I.
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2023-02-24T11:38:28Z
dc.date.available2023-02-24T11:38:28Z
dc.date.issued2023
dc.description.abstractThe increase in life expectancy has led to a growing demand for Home Health Care (HHC) services. However, some problems can arise in the management of these services, leading to high computational complexity and time-consuming to obtain an exact and/or optimal solution. This study intends to contribute to an automatic multi-criteria decision-support system that allows the optimization of several objective functions simultaneously, which are often conflicting, such as costs related to travel (distance and/or time) and available resources (health professionals and vehicles) to visit the patients. In this work, the HHC scheduling and routing problem is formulated as a multi objective approach, aiming to minimize the travel distance, the travel time and the number of vehicles, taking into account specific constraints, such as the needs of patients, allocation variables, the health professionals and the transport availability. Thus, the multi-objective genetic algorithm, based on the NSGA-II, is applied to a real-world problem of HHC visits from a Health Unit in Bragança (Portugal), to identify and examine the different compromises between the objectives using a Pareto-based approach to operational planning. Moreover, this work provides several efficient end-user solutions, which were standardized and evaluated in terms of the proposed policy and compared with current practice. The outcomes demonstrate the significance of a multi-criteria approach to HHC services.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020), SusTEC (LA/P/0007/2021) and ALGORITMI Research Centre / LASI (UIDB/00319/2020). Filipe Alves thanks the FCT for supporting its research with the Ph.D. grant SFRH/BD/143745/2019.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAlves, Filipe; Costa, Lino; Rocha, Ana Maria A.C.; Pereira, Ana I.; Leitão, Paulo. (2023). The sustainable home health care process based on multi-criteria decision-dupport. Mathematics. eISSN 2227-7390. 11:1, p. 1-19pt_PT
dc.identifier.doi10.3390/math11010006pt_PT
dc.identifier.eissn2227-7390
dc.identifier.urihttp://hdl.handle.net/10198/27172
dc.language.isoengpt_PT
dc.publisherMDPI
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationALGORITMI Research Center
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMulti-criteria optimizationpt_PT
dc.subjectHome health carept_PT
dc.subjectPath planningpt_PT
dc.subjectMetaheuristicpt_PT
dc.subjectDecision-support systempt_PT
dc.titleThe sustainable home health care process based on multi-criteria decision-supportpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleALGORITMI Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT
oaire.citation.titleMathematicspt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAlves
person.familyNamePereira
person.familyNameLeitão
person.givenNameFilipe
person.givenNameAna I.
person.givenNamePaulo
person.identifierA-8390-2011
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person.identifier.orcid0000-0002-8387-391X
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0002-2151-7944
person.identifier.ridV-5791-2017
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id57195267974
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id35584388900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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