Evaluation of home health care vehicle routing methods by intuitionistic fuzzy AHP

BildiriYalnız künye
  • SDG 3 · Sağlık ve Kaliteli Yaşam

Özet

In our country, Home Health Care (HHC) units support people who are fully bed-dependent in order to provide health services at the right time, place and conditions. Vehicle Routing Problem (VRP) is used for cost, speed and distance optimization in delivering products or services to customers. In addition, there will be improvements in HHC and it will also save on transportation, storage and labor costs by determining the most appropriate VRP’s solution methods. In this respect, the aim of this study is to determine the best VRP’s solution method which can increase the efficiency of HHC. The proposed approach is based on Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) method which is a strong technique for dealing with uncertainties. According to results, the most important criteria is “time based factors”. Meta-heuristic is the appropriate solution algorithms for VRP in HHC.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/13283Resmi atıflarda kullanılan kalıcı adres
Tam Kayıt
AlanDeğerDil
dc.contributor.authorPeker, Iskender
dc.contributor.authorCaybasi, Gokhan
dc.contributor.authorBuyukozkan, Gulcin
dc.contributor.authorGocer, Fethullah
dc.contributor.editorKahraman, C.
dc.contributor.editorCevik Onar, S.
dc.contributor.editorOztaysi, B.
dc.contributor.editorSari, I.U.
dc.contributor.editorCebi, S.
dc.contributor.editorTolga, A.C.
dc.date.accessioned2026-10-22T10:21:09.395448786Z
dc.date.available2026-10-22T10:21:09.395448786Z
dc.date.issued2020
dc.description.abstractIn our country, Home Health Care (HHC) units support people who are fully bed-dependent in order to provide health services at the right time, place and conditions. Vehicle Routing Problem (VRP) is used for cost, speed and distance optimization in delivering products or services to customers. In addition, there will be improvements in HHC and it will also save on transportation, storage and labor costs by determining the most appropriate VRP’s solution methods. In this respect, the aim of this study is to determine the best VRP’s solution method which can increase the efficiency of HHC. The proposed approach is based on Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) method which is a strong technique for dealing with uncertainties. According to results, the most important criteria is “time based factors”. Meta-heuristic is the appropriate solution algorithms for VRP in HHC.
dc.identifier.doi10.1007/978-3-030-23756-1_74
dc.identifier.endpage615
dc.identifier.isbn978-303023755-4
dc.identifier.issn2194-5357
dc.identifier.scopus2-s2.0-85069496663
dc.identifier.startpage607
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/13283
dc.identifier.volume1029
dc.language.isoen
dc.publisherSpringer Verlag
dc.relation.conferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019
dc.relation.ispartofAdvances in Intelligent Systems and Computing
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectHome Health Care
dc.subjectIntuitionistic Fuzzy Analytic Hierarchy Process
dc.subjectVehicle Routing Problem
dc.subject.otherAnalytic hierarchy process
dc.subject.otherBehavioral research
dc.subject.otherDecision making
dc.subject.otherDigital storage
dc.subject.otherFuzzy sets
dc.subject.otherHeuristic algorithms
dc.subject.otherHierarchical systems
dc.subject.otherVehicle routing
dc.subject.otherVehicles
dc.subject.otherWages
dc.subject.otherHealth services
dc.subject.otherIntuitionistic fuzzy
dc.subject.otherLabor costs
dc.subject.otherMetaheuristic
dc.subject.otherSolution algorithms
dc.subject.otherSolution methods
dc.subject.otherVehicle routing problem
dc.subject.otherVehicle Routing Problems
dc.subject.otherHome health care
dc.titleEvaluation of home health care vehicle routing methods by intuitionistic fuzzy AHP
dc.typeConference Object
dspace.entity.typePublication
rdl.citation.openalex4
rdl.citation.scopus3
rdl.conference.date23 July 2019 through 25 July 2019
rdl.conference.placeIstanbul
rdl.oa.statusclosed
rdl.sdgSDG03
rdl.source.indexSCOPUS