Real-time location systems selection by using a fuzzy MCDM approach: An application in humanitarian relief logistics

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dc.authoridkaya, ihsan/0000-0002-0142-4257
dc.authoridKarasan, Ali/0000-0002-5571-6554
dc.authorwosidERDOGAN, Melike/L-6949-2013
dc.authorwosidkaya, ihsan/AAG-5642-2019
dc.authorwosidKarasan, Ali/U-3966-2017
dc.contributor.authorBudak, Aysenur
dc.contributor.authorKaya, Ihsan
dc.contributor.authorKarasan, Ali
dc.contributor.authorErdogan, Melike
dc.date.accessioned2021-12-01T18:49:31Z
dc.date.available2021-12-01T18:49:31Z
dc.date.issued2020
dc.department[Belirlenecek]en_US
dc.description.abstractThe real-time location systems (RTLSs) with different positioning technologies allow real-time and high-precision localization of assets. Since the usage of RTLSs technologies and their population increase, RTLSs technology selection problem that addresses many factors should be considered. Therefore, it is important to determine the performance criteria and evaluation of these technologies should be investigated before RTLSs technology is applied to the system. This paper aims to select the most appropriate RTLSs technology by using a combined fuzzy based decision-making approach. Thus, the first paper for selection of RTLSs systems in a holistic approach by combining benefit and risk factors has been revealed. The developed approach is applied to humanitarian relief logistics warehouse with four alternatives which are given as Ultra-Wide Band, Wi-Fi, UHF RFID and Active RFID for the selection. The proposed approach has been integrated with interval-valued intuitionistic fuzzy (IVIF) sets that allow to deal with fuzziness inherent in decision making processes. For this aim, firstly IVIF DEMATEL is used to determine the inner and outer dependencies of the sub and main criteria; secondly, weights of the sub-criteria are obtained by using IVIF ANP. Finally, the best RTLSs technology to be used in humanitarian logistics warehouse is selected by using IVIF TOPSIS. As a result of the calculations, the best system is determined as the Wi-Fi RTLS'' system based on the given context. By the way, a sensitivity analysis has been also implemented to test and validate the developed methodology. (C) 2020 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.asoc.2020.106322
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopus2-s2.0-85083758535en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2020.106322
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10736
dc.identifier.volume92en_US
dc.identifier.wosWOS:000537254800015en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy setsen_US
dc.subjectDecision makingen_US
dc.subjectHumanitarian relief logisticsen_US
dc.subjectReal time location systemsen_US
dc.subjectPerformance managementen_US
dc.subjectTechnology selectionen_US
dc.subjectGroup Decision-Makingen_US
dc.subjectModelen_US
dc.subjectManagementen_US
dc.subjectSetsen_US
dc.subjectAhpen_US
dc.titleReal-time location systems selection by using a fuzzy MCDM approach: An application in humanitarian relief logisticsen_US
dc.typeArticleen_US

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