Determining the most suitable sectors in terms of the digital supply chain by integrated fuzzy MCDM approach

MakaleAçık Erişim
  • SDG 9 · Sanayi, Yenilikçilik ve Altyapı

Özet

In this day and age, businesses come up against several challenges due to digital progresses in their supply chain. Digitalization has been expected to play an increasingly important role for both companies and the supply chains of the future. Concordantly, it is important to determine the suitability of the supply chains of the sectors for digitalization in order to cope with the difficulties that the enterprises will face in the future. The main objective of this study is to determine the suitability of the supply chains of the sectors in which medium-sized enterprises operate for digitalization. For this purpose, the criteria which affecting the constitution of the digital supply chain are determined with a comprehensive literature search. Fuzzy Analytical Hierarchy Process (FAHP) is utilized to weighting of the relevant criteria. Sectors which medium-sized enterprises are constitute the alternatives of the study. After the weighting of the criteria, in terms of digital supply chain the suitability of the sectors was evaluated via Fuzzy TOPSIS (FTOPSIS) and Fuzzy VIKOR (FVIKOR). BORDA count technique is utilized to obtain the final decision by integrating the results from these two methods. According to the results of the study, the most important criterion in terms of Global Connectivity digital supply chain was determined as the Manufacturing sector according to FTOPSIS and the Health sector has been determined as the most suitable sector for digitalization according to FVIKOR. As to BORDA Count method, results show that the manufacturing sector is the most suitable sector for digitalization in the general ranking.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/16554Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.5505/pajes.2022.12245Yayıncı resmi DOI adresi
Atıflar
WoS
1
OpenAlex
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TR Dizin
1
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Tam Kayıt
AlanDeğerDil
dc.contributor.authorGergin, Ramazan Eyuep
dc.date.accessioned2026-10-22T10:32:44.512866261Z
dc.date.available2026-10-22T10:32:44.512866261Z
dc.date.issued2023
dc.description.abstractIn this day and age, businesses come up against several challenges due to digital progresses in their supply chain. Digitalization has been expected to play an increasingly important role for both companies and the supply chains of the future. Concordantly, it is important to determine the suitability of the supply chains of the sectors for digitalization in order to cope with the difficulties that the enterprises will face in the future. The main objective of this study is to determine the suitability of the supply chains of the sectors in which medium-sized enterprises operate for digitalization. For this purpose, the criteria which affecting the constitution of the digital supply chain are determined with a comprehensive literature search. Fuzzy Analytical Hierarchy Process (FAHP) is utilized to weighting of the relevant criteria. Sectors which medium-sized enterprises are constitute the alternatives of the study. After the weighting of the criteria, in terms of digital supply chain the suitability of the sectors was evaluated via Fuzzy TOPSIS (FTOPSIS) and Fuzzy VIKOR (FVIKOR). BORDA count technique is utilized to obtain the final decision by integrating the results from these two methods. According to the results of the study, the most important criterion in terms of Global Connectivity digital supply chain was determined as the Manufacturing sector according to FTOPSIS and the Health sector has been determined as the most suitable sector for digitalization according to FVIKOR. As to BORDA Count method, results show that the manufacturing sector is the most suitable sector for digitalization in the general ranking.
dc.identifier.doi10.5505/pajes.2022.12245
dc.identifier.eissn2147-5881
dc.identifier.endpage171
dc.identifier.issn1300-7009
dc.identifier.issue2
dc.identifier.startpage158
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/16554
dc.identifier.volume29
dc.identifier.wosWOS:001011187000002
dc.language.isoen
dc.publisherPAMUKKALE UNIV
dc.relation.ispartofPAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectFuzzy AHP
dc.subjectFuzzy TOPSIS
dc.subjectFuzzy VIKOR
dc.subjectDigital supply chain
dc.subjectSupply chain management
dc.subject.classificationEngineering, Multidisciplinary
dc.subject.classificationEngineering
dc.subject.otherDECISION-MAKING
dc.subject.otherTOPSIS
dc.subject.otherSELECTION
dc.subject.otherVIKOR
dc.subject.otherPERFORMANCE
dc.subject.otherIMPACT
dc.subject.otherTRANSFORMATION
dc.subject.otherENVIRONMENT
dc.subject.otherMANAGEMENT
dc.subject.otherOPERATIONS
dc.titleDetermining the most suitable sectors in terms of the digital supply chain by integrated fuzzy MCDM approach
dc.typeArticle
rdl.citation.openalex1
rdl.citation.trdizin1
rdl.citation.wos1
rdl.oa.statusgold
rdl.oa.urlhttps://jag.journalagent.com/z4/download_fulltext.asp?pdir=pajes&plng=eng&un=PAJES-12245
rdl.sdgSDG09
rdl.source.indexWOS
rdl.source.indexTRDIZIN
rdl.wos.indexEmerging Sources Citation Index (ESCI)