Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/10449
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dc.contributor.authorYazır, Osman Atilla-
dc.contributor.authorKoç, Çağrı-
dc.contributor.authorYücel, Eda-
dc.date.accessioned2023-07-14T20:17:01Z-
dc.date.available2023-07-14T20:17:01Z-
dc.date.issued2023-
dc.identifier.issn0171-6468-
dc.identifier.issn1436-6304-
dc.identifier.urihttps://doi.org/10.1007/s00291-023-00721-3-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/10449-
dc.description.abstractThis paper studies the multi-period home healthcare routing and scheduling problem with homogeneous electric vehicles and time windows. The problem aims to construct the weekly routes of healthcare nurses, which provide service to the patients located at a scattered geographic area. Some patients may require to be visited more than once in the same workday and/or in the same workweek. We consider three charging technologies; normal, fast, and super-fast. The vehicles might be charged during the working day at a charging station or at the end of the working day at the depot. Charging a vehicle at a depot at the end of a working day requires the transfer of the corresponding nurse from the depot to her/his home. The objective is to minimize the total cost that comprises the fixed cost of utilizing healthcare nurses, the energy charging costs, the costs associated with depot-to-nurse home transfer services, and the costs of a patient left unserved. We formulate a mathematical model and develop an adaptive large neighborhood search metaheuristic that has been efficiently crafted to handle specific problem features. We conduct extensive computational experiments on benchmark instances to assess the competitiveness of the heuristic and to deeply analyze the problem. Our analysis shows the importance of competency level matching as mismatching competency levels could increase the costs of home healthcare providers.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [119M007]en_US
dc.description.sponsorshipAcknowledgementsThis work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under grant number 119M007. This support is gratefully acknowledged. The authors are indebted to Tunahan Ozmen for his technical support. Thanks are due to two referees for their valuable comments.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofOr Spectrumen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHome healthcare routingen_US
dc.subjectElectric vehiclesen_US
dc.subjectMulti-perioden_US
dc.subjectAdaptive large neighborhood searchen_US
dc.subjectTime Windowsen_US
dc.subjectModelsen_US
dc.titleThe Multi-Period Home Healthcare Routing and Scheduling Problem With Electric Vehiclesen_US
dc.typeArticleen_US
dc.departmentTOBB ETÜen_US
dc.identifier.wosWOS:001006172300001en_US
dc.identifier.scopus2-s2.0-85153733916en_US
dc.institutionauthor-
dc.identifier.pmid37360934en_US
dc.identifier.doi10.1007/s00291-023-00721-3-
dc.authorscopusid58198414400-
dc.authorscopusid56399128200-
dc.authorscopusid24773991000-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.4. Department of Industrial Engineering-
Appears in Collections:PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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