Application of machine learning in supply chain management: a comprehensive overview of the main areas

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dc.authoridErfan Babaee Tirkolaee / 0000-0003-1664-9210en_US
dc.authorscopusidErfan Babaee Tirkolaee / 57196032874
dc.authorwosidErfan Babaee Tirkolaee / U-3676-2017
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorSadeghi, Saeid
dc.contributor.authorMooseloo, Farzaneh Mansoori
dc.contributor.authorVandchali, Hadi Rezaei
dc.contributor.authorAeini, Samira
dc.date.accessioned2021-07-29T05:46:51Z
dc.date.available2021-07-29T05:46:51Z
dc.date.issued2021en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.descriptionWOS:000672427400001en_US
dc.description.abstractIn today's complex and ever-changing world, concerns about the lack of enough data have been replaced by concerns about too much data for supply chain management (SCM). The volume of data generated from all parts of the supply chain has changed the nature of SCM analysis. By increasing the volume of data, the efficiency and effectiveness of the traditional methods have decreased. Limitations of these methods in analyzing and interpreting a large amount of data have led scholars to generate some methods that have high capability to analyze and interpret big data. Therefore, the main purpose of this paper is to identify the applications of machine learning (ML) in SCM as one of the most well-known artificial intelligence (AI) techniques. By developing a conceptual framework, this paper identifies the contributions of ML techniques in selecting and segmenting suppliers, predicting supply chain risks, and estimating demand and sales, production, inventory management, transportation and distribution, sustainable development (SD), and circular economy (CE). Finally, the implications of the study on the main limitations and challenges are discussed, and then managerial insights and future research directions are given.en_US
dc.identifier.citationTirkolaee, E. B., Sadeghi, S., Mooseloo, F. M., Vandchali, H. R., & Aeini, S. (2021). Application of Machine Learning in Supply Chain Management: A Comprehensive Overview of the Main Areas. Mathematical Problems in Engineering, 2021.en_US
dc.identifier.doi10.1155/2021/1476043en_US
dc.identifier.issn1024-123Xen_US
dc.identifier.issn1563-5147en_US
dc.identifier.scopus2-s2.0-85109430509en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1155/2021/1476043
dc.identifier.urihttps://hdl.handle.net/20.500.12713/1958
dc.identifier.volume2021en_US
dc.identifier.wosWOS:000672427400001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTirkolaee, Erfan Babaee
dc.language.isoenen_US
dc.publisherHINDAWI LTDen_US
dc.relation.ispartofMATHEMATICAL PROBLEMS IN ENGINEERINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleApplication of machine learning in supply chain management: a comprehensive overview of the main areasen_US
dc.typeArticleen_US

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