International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 2 March-April 2024 Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

Supply Chain Management in Apparel Industry

Author(s) Omkar Singh, Navanendra Singh, Abhilasha Singh, Vinoth R
Country India
Abstract Worries about insufficient data have given way to worries about an excess of data in the realm of supply chain management (SCM) in today's intricate and constantly evolving world. The substantial increase in data generated throughout the apparel supply chain has transformed the landscape of SCM analysis. The effectiveness and efficiency of earlier processes have dwindled with the surge in data volume. Due to the constraints of current methodologies in handling and deciphering extensive datasets, researchers have devised novel approaches capable of analyzing and interpreting vast amounts of data. Consequently, the main objective of this study is to explore the applications of machine learning (ML) within the Apparel Supply Chain, recognized as one of the prominent artificial intelligences (AI) methodologies.
Keywords Supply Chain, Artificial Intelligence, Machine Learning, Apparel Industry
Field Computer Applications
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-03-09
Cite This Supply Chain Management in Apparel Industry - Omkar Singh, Navanendra Singh, Abhilasha Singh, Vinoth R - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.14755
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.14755
Short DOI https://doi.org/gtmbff

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