Exploring managerial insights through multi criteria decision making techniques in pharmacy inventory classification problem

MakaleAçık ErişimScopus SJRQ3

Özet

The current research addresses the inventory classification problem of community pharmacies, which have a dual role as both a vital component of the pharmaceutical supply chain and a typical retail store. Despite the existing literature indicating that pharmacists may lack knowledge on inventory management, it seems that the MCIC literature is weak in explaining how pharmacists can benefit from MCDA techniques in all aspects. To bridge this gap, the study aims to demonstrate that pharmacists can utilize MCDA techniques to gain deeper insights beyond mere classification in the context of inventory management. Real-world data from a community pharmacy in Turkey was classified using the EDAS method. Sensitivity analysis was performed for MCDA inputs, about which pharmacists may lack information. Scenario findings based on criterion weights and threshold values offer important managerial implications for pharmacists. This study provides a critical contribution to the literature on inventory management in community pharmacies by highlighting the potential of MCDA techniques to support decision-making beyond mere classification. The sensitivity analysis also sheds light on areas where pharmacists may lack knowledge and suggests ways to address these gaps. Overall, the study underscores the need for pharmacists to have a deeper understanding of inventory management and highlights the potential benefits of MCDA techniques in addressing this challenge.

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https://rdlopen.rawdatalibrary.net/r/gumushane/11442Resmi atıflarda kullanılan kalıcı adres
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https://doi.org/10.5267/j.dsl.2023.6.002Yayıncı resmi DOI adresi
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AlanDeğerDil
dc.contributor.authorŞimşek, Ahmet Bahadır
dc.contributor.authorGöktekin, Zekiye
dc.contributor.authorGeliç, Büşra
dc.date.accessioned2026-10-22T10:19:01.746872950Z
dc.date.available2026-10-22T10:19:01.746872950Z
dc.date.issued2023
dc.description.abstractThe current research addresses the inventory classification problem of community pharmacies, which have a dual role as both a vital component of the pharmaceutical supply chain and a typical retail store. Despite the existing literature indicating that pharmacists may lack knowledge on inventory management, it seems that the MCIC literature is weak in explaining how pharmacists can benefit from MCDA techniques in all aspects. To bridge this gap, the study aims to demonstrate that pharmacists can utilize MCDA techniques to gain deeper insights beyond mere classification in the context of inventory management. Real-world data from a community pharmacy in Turkey was classified using the EDAS method. Sensitivity analysis was performed for MCDA inputs, about which pharmacists may lack information. Scenario findings based on criterion weights and threshold values offer important managerial implications for pharmacists. This study provides a critical contribution to the literature on inventory management in community pharmacies by highlighting the potential of MCDA techniques to support decision-making beyond mere classification. The sensitivity analysis also sheds light on areas where pharmacists may lack knowledge and suggests ways to address these gaps. Overall, the study underscores the need for pharmacists to have a deeper understanding of inventory management and highlights the potential benefits of MCDA techniques in addressing this challenge.
dc.identifier.doi10.5267/j.dsl.2023.6.002
dc.identifier.eissn1929-5812
dc.identifier.endpage806
dc.identifier.issn1929-5804
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85172381487
dc.identifier.startpage795
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/11442
dc.identifier.volume12
dc.identifier.wosWOS:001138189700001
dc.language.isoen
dc.publisherGrowing Science
dc.relation.ispartofDecision Science Letters
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBWM
dc.subjectCommunity pharmacy
dc.subjectEDAS
dc.subjectInventory classification
dc.subjectMulti-criteria decision-making
dc.subjectSensitivity analysis
dc.subject.classificationOperations Research & Management Science
dc.subject.otherMULTICRITERIA
dc.subject.otherMANAGEMENT
dc.titleExploring managerial insights through multi criteria decision making techniques in pharmacy inventory classification problem
dc.typeArticle
rdl.citation.openalex6
rdl.citation.scopus4
rdl.citation.wos1
rdl.oa.statusgold
rdl.oa.statusclosed
rdl.oa.urlhttps://doi.org/10.5267/j.dsl.2023.6.002
rdl.scopus.quartileQ3
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexEmerging Sources Citation Index (ESCI)