Investigation of the pharmaceutical warehouse locations under COVID-19-A case study for Duzce, Turkey

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dc.authoridAyyıldız, Ertuğrul/0000-0002-6358-7860
dc.authoridErdoğan, Melike/0000-0003-0329-8562
dc.authorwosidAyyıldız, Ertuğrul/AAR-6303-2020
dc.contributor.authorErdoğan, Melike
dc.contributor.authorAyyıldız, Ertuğrul
dc.date.accessioned2023-07-26T11:57:48Z
dc.date.available2023-07-26T11:57:48Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractPharmaceutical warehouses are among the centers that play a critical role in the delivery of medicines from the producers to the consumers. Especially with the new drugs and vaccines added during the pandemic period to the supply chain, the importance of the regions they are located in has increased critically. Since the selection of pharmaceutical warehouse location is a strategic decision, it should be handled in detail and a comprehensive analysis should be made for the location selection process. Considering all these, in this study, a real-case application by taking the problem of selecting the best location for a pharmaceutical warehouse is carried out for a city that can be seen as critical in drug distribution in Turkey. For this aim, two effective multi-criteria decision-making (MCDM) methodologies, namely Analytic Hierarchy Process (AHP) and Evaluation based on Distance from Average Solution (EDAS), are integrated under spherical fuzzy environment to reflect fuzziness and indeterminacy better in the decision-making process and the pharmaceutical warehouse location selection problem is discussed by the proposed fuzzy integrated methodology for the first time. Finally, the best region is found for the pharmaceutical warehouse and the results are discussed under the determined criteria. A detailed robustness analysis is also conducted to measure the validity, sensibility and effectiveness of the proposed methodology. With this study, it can be claimed that literature has initiated to be revealed for the pharmaceutical warehouse location problem and a guide has been put forward for those who are willing to study this area.en_US
dc.identifier.doi10.1016/j.engappai.2022.105389
dc.identifier.issn0952-1976
dc.identifier.issn1873-6769
dc.identifier.pmid36059577en_US
dc.identifier.scopus2-s2.0-85137159483en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.engappai.2022.105389
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13312
dc.identifier.volume116en_US
dc.identifier.wosWOS:000874568400003en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakPubMeden_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorErdoğan, Melike
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofEngineering Applications of Artificial Intelligenceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectAnalytic Hierarchy Process; Evaluation Based On Distance From Average; Solution; Spherical Fuzzy Sets; Pandemics; Pharmaceutical Warehouse Locationen_US
dc.subjectDecision-Making; Supply Chain; Edas Method; Selection; Interval; Model; Ahp; Optimization; Methodology; Extensionen_US
dc.titleInvestigation of the pharmaceutical warehouse locations under COVID-19-A case study for Duzce, Turkeyen_US
dc.typeArticleen_US

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