Comparison of Generative AI Models in Supply Chain Management: Benefits, Applications and Challenges
This paper explores the utilization of three prominent AI techniques—Generative Adversarial Networks (GANs), (VAEs), and Recurrent Neural Networks (RNNs)—in SCM. The review provides insights into the application areas, benefits, challenges, and future directions of these AI techniques in optimizing different segments of the supply chain.
Authors
- Khaoula Khlie (ORCID: https://orcid.org/0000-0003-3228-0257)
- Zoubida Benmamoun (ORCID: https://orcid.org/0000-0003-1828-5916)
- Hanaâ Hachimi (ORCID: https://orcid.org/0000-0001-6884-083X)
- Ikhlef Jebbor (ORCID: https://orcid.org/0000-0002-6480-4847)
Institutions
- Université Ibn-Tofail (MA)
- Liwa University (AE)
Publication Details
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1109/icoa62581.2024.10753985
- Citations
- 4
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 2.11