Evaluation of the pharmaceutical distribution and warehousing companies through an integrated Fermatean fuzzy entropy-WASPAS approach

dc.authoridEcer, Fatih/0000-0002-6174-3241
dc.authoridAytekin, Ahmet/0000-0002-1536-7097
dc.authoridPamucar, Dragan/0000-0001-8522-1942
dc.authorwosidEcer, Fatih/AAE-8455-2020
dc.authorwosidAytekin, Ahmet/AAG-1900-2019
dc.authorwosidGorcun, Omer Faruk/ADF-0541-2022
dc.authorwosidPamucar, Dragan/AAG-8288-2019
dc.contributor.authorGörçün, Ömer Faruk
dc.contributor.authorGorcun, Omer Faruk
dc.contributor.authorEcer, Fatih
dc.contributor.authorPamucar, Dragan
dc.contributor.authorKarama, Caglar
dc.date.accessioned2023-10-19T15:11:45Z
dc.date.available2023-10-19T15:11:45Z
dc.date.issued2022
dc.department-temp[Aytekin, Ahmet] Artvin Coruh Univ, Dept Business Adm, Hopa Fac Econ & Adm Sci, Artvin, Turkey; [Gorcun, Omer Faruk] Kadir Has Univ, Dept Business Adm, Istanbul, Turkey; [Ecer, Fatih] Afyon Kocatepe Univ, Dept Business Adm, Afyon, Turkey; [Pamucar, Dragan] Univ Belgrade, Fac Org Sci, Dept Operat Res & Stat, Belgrade, Serbia; [Karama, Caglar] Anadolu Univ, Fac Business, Dept Business Adm, Eskisehir, Turkeyen_US
dc.description.abstractPurpose Pharmaceutical supply chains (PSCs) need a well-operating and faultless logistics system to successfully store and distribute their medicines. Hospitals, health institutes, and pharmacies must maintain extra stock to respond requirements of the patients. Nevertheless, there is an inverse correlation between the level of medicine stock and logistics service level. The high stock level held by health institutions indicates that we have not sufficiently excellent logistics systems presently. As such, selecting appropriate logistics service providers (drug distributors) is crucial and strategic for PSCs. However, this is difficult for decision-makers, as highly complex situations and conflicting criteria influence such evaluation processes. So, a robust, applicable, and strong methodological frame is required to solve these decision-making problems. Design/methodology/approach To achieve this challenging issue, the authors develop and apply an integrated entropy-WASPAS methodology with Fermatean fuzzy sets for the first time in the literature. The evaluation process takes place in two stages, as in traditional multi-criteria problems. In the first stage, the importance levels of the criteria are determined by the FF-entropy method. Afterwards, the FF-WASPAS approach ranks the alternatives. Findings The feasibility of the proposed model is also supported by a case study where six companies are evaluated comprehensively regarding ten criteria. Herewith, total warehouse capacity, number of refrigerated vehicles, and personnel are the top three criteria that significantly influence the evaluation of pharmaceutical distribution and warehousing companies. Further, a comprehensive sensitivity analysis proves the robustness and effectiveness of the proposed approach. Practical implications The proposed multi-attribute decision model quantitatively aids managers in selecting logistics service providers considering imprecisions in the multi-criteria decision-making process. Originality/value A new model has been developed to present a sound mathematical model for selecting logistics service providers consisting of Fermatean fuzzy entropy and WASPAS methods. The paper's main contribution is presenting a comprehensive and more robust model for the ex ante evaluation and ranking of providers.en_US
dc.identifier.citation16
dc.identifier.doi10.1108/K-04-2022-0508en_US
dc.identifier.issn0368-492X
dc.identifier.issn1758-7883
dc.identifier.scopus2-s2.0-85135496053en_US
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1108/K-04-2022-0508
dc.identifier.urihttps://hdl.handle.net/20.500.12469/5204
dc.identifier.wosWOS:000836432700001en_US
dc.identifier.wosqualityN/A
dc.khas20231019-WoSen_US
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Ltden_US
dc.relation.ispartofKybernetesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGroup Decision-MakingEn_Us
dc.subjectSupply ChainEn_Us
dc.subjectRank ReversalEn_Us
dc.subject3rd-Party LogisticsEn_Us
dc.subjectSelectionEn_Us
dc.subjectModelEn_Us
dc.subjectPerformanceEn_Us
dc.subjectCriteriaEn_Us
dc.subjectAhpEn_Us
dc.subjectExtensionEn_Us
dc.subjectGroup Decision-Making
dc.subjectSupply Chain
dc.subjectRank Reversal
dc.subject3rd-Party Logistics
dc.subjectSelection
dc.subjectPharmaceutical distribution and warehousingen_US
dc.subjectModel
dc.subjectPharmaceutical supply chainsen_US
dc.subjectPerformance
dc.subjectSupply chain managementen_US
dc.subjectCriteria
dc.subjectFermatean fuzzy setsen_US
dc.subjectAhp
dc.subjectFermatean entropyen_US
dc.subjectExtension
dc.subjectFermatean WASPASen_US
dc.titleEvaluation of the pharmaceutical distribution and warehousing companies through an integrated Fermatean fuzzy entropy-WASPAS approachen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublication4d0f6004-dbe4-4e79-befd-457af3bb133f
relation.isAuthorOfPublication.latestForDiscovery4d0f6004-dbe4-4e79-befd-457af3bb133f

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