| Issue |
BIO Web Conf.
Volume 86, 2024
International Conference on Recent Trends in Biomedical Sciences (RTBS-2023)
|
|
|---|---|---|
| Article Number | 01093 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/bioconf/20248601093 | |
| Published online | 12 January 2024 | |
Supply Chain Optimization in Industry 5.0: An Experimental Investigation Using Al
1 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg 195251, Russian Federation
2 Lovely Professional University Phagwara, Punjab, India
3 Uttaranchal University, Dehradun 248007, India
4 K R Mangalam University, Gurgaon, India
5 GD Goenka University, Sohna, Haryana, India
6 GRIET, Bachupally, Hyderabad, Telangana, India
* Corresponding author: vatin@mail.ru
This experimental study examines the use of AI-driven supply chain management solutions in the framework of Industry 5.0. An analysis of fictitious data that represented product inventory, supplier details, customer orders, and transportation details showed significant cost savings in transportation logistics (10%), improvements in supplier cost efficiency (20%), and significant reductions in excess inventory (10%). In Industry 5.0, artificial intelligence (AI) emerges as a key technology that can promote effective, customer-focused, and sustainable supply chains.
Key words: Industry 5.0 / AI / supply chain optimization / data analysis / cost reduction
© The Authors, published by EDP Sciences, 2024
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