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- W4361763029 abstract "This research presents a systematic literature review of using artificial intelligence (AI) in the supply chain (SC). We examine the works done so far in relation to AI research, which still needs to be investigated in light of the potential benefits of implementing AI in supply chain management. Dynamic supply chain processes require artificial intelligence techniques capable of dealing with their increasing complexity. Artificial intelligence techniques such as machine learning, Deep learning, natural language processing, expert systems, knowledge representation, Fuzzy logic and models, social intelligence, Artificial neural networks, Support vector machines, Gaussian models, robotics, Ant colony, and computer vision can transform and optimize the supply chain. In order to classify the study material, we looked at 50 research papers from the Scopus database that were published between 2002 and 2022 and assigned each one a grade based on two fundamental structural factors are as follows: AI techniques and sector of application." @default.
- W4361763029 created "2023-04-04" @default.
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- W4361763029 date "2023-01-01" @default.
- W4361763029 modified "2023-09-27" @default.
- W4361763029 title "Application of Artificial Intelligence in the Supply Chain: A Systematic Literature Review" @default.
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- W4361763029 doi "https://doi.org/10.1007/978-3-031-28387-1_33" @default.
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