Agile supply chain management based on critical success factors and most ideal risk reduction strategy in the era of industry 4.0: application to plastic industry

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dc.authoridTirkolaee, Erfan Babaee/0000-0003-1664-9210
dc.authoridKaramaşa, Çağlar/0000-0003-2454-1824
dc.authoridKORUCUK, SELCUK/0000-0003-2471-1950
dc.authorwosidN'Dri, Amoin Bernadine/IWD-7811-2023
dc.authorwosidTirkolaee, Erfan Babaee/U-3676-2017
dc.authorwosidKaramaşa, Çağlar/HKN-7862-2023
dc.contributor.authorKorucuk, Selcuk
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorAytekin, Ahmet
dc.contributor.authorKarabasevic, Darjan
dc.contributor.authorKaramasa, Caglar
dc.date.accessioned2024-05-19T14:38:55Z
dc.date.available2024-05-19T14:38:55Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractIn the global trade economy, the degree of competition and differentiation among organizations working in the sector of Supply Chain Management (SCM) is expanding gradually. For companies, SCM operations are becoming more important than manufacturing, sales, and marketing activities, and new ways and methods are preferred for efficiency and performance. The agility (or agility phenomenon) is one of the applications that aids effective SCM operations in this context. Agile Supply Chain Management (ASCM) and the emergence of Industry 4.0 practices, in addition to offering a cost advantage and business performance improvement, are crucial in providing flexibility to companies and ensuring their survival in the era of Industry 4.0. Meanwhile, companies aim to deal with uncertainty and implement various risk-reduction strategies as part of effective SCM. In this context, the study lists the critical success factors of ASCM and selects the most appropriate risk reduction strategy for companies that manufacture and market rubber and plastic products with a corporate identity and conduct import and export business in Istanbul. For this purpose, the criteria and alternatives specified in accordance with the literature review and experts' opinions are examined using Bipolar Neutrosophic Stepwise Weight Assessment Ratio Analysis (BN-SWARA) and Bipolar Neutrosophic Technique for Order of Preference by Similarity to Ideal Solution (BN-TOPSIS) methods. The ranking results are then discussed in line with the practical implications to provide managerial insights and decision aids. Finally, the main limitations are expressed in order to delineate useful future research directions.en_US
dc.identifier.doi10.1007/s12063-023-00360-5
dc.identifier.endpage1719en_US
dc.identifier.issn1936-9735
dc.identifier.issn1936-9743
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85153035815en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1698en_US
dc.identifier.urihttps://doi.org10.1007/s12063-023-00360-5
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4647
dc.identifier.volume16en_US
dc.identifier.wosWOS:000971780300001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofOperations Management Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectAgile Supply Chain Managementen_US
dc.subjectIndustry 4en_US
dc.subject0en_US
dc.subjectRisk Reductionen_US
dc.subjectSuccess Factorsen_US
dc.subjectBipolar Neutrosophic Swaraen_US
dc.subjectBipolar Neutrosophic Topsisen_US
dc.titleAgile supply chain management based on critical success factors and most ideal risk reduction strategy in the era of industry 4.0: application to plastic industryen_US
dc.typeArticleen_US

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