1. TARUN KUMAR ARORA - Department of Applied Science & Humanities, ABES Engineering College, Ghaziabad.
2. AJAY SINGH YADAV - Department of Mathematics, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad.
3. PAVAN KUMAR CHAUBEY - Department of Applied Science & Humanities, Tula’s Institute Dehradun, Uttarakhand.
4. NAVIN AHLAWAT - Department of Computer Science, SRM Institute of Science and Technology, Delhi-NCR Campus,
Ghaziabad.
5. PRIYAMBADA PUROHIT - Department of Management, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad.
6. ANUPAM SWAMI - Department of Mathematics, Government Women Post Graduate College, Kandhla, Shamli.
7. PRIYANKA AGARWAL - Department of Mathematics, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad.
In this study, the concept of Deep learning is explained, and algorithms for optimizing bacterial foraging are optimized under Covid-19 medicine industry Supply chain management. By defining the basic phases and content of Deep learning, the relationship between AI and optimization is examined. Based on this study, a bacterial feed optimization algorithm was considered under Covid-19 medicine industry Supply chain management. Steps and operations of these artificial intelligence-based optimization algorithms, which were widely used in the literature, have been examined in detail. All algorithms discussed in this study are related to nature. Covid-19 medicine industry Supply chain management of medicine industry is one of medical issues that need special attention. One of the general problems in the production of medicine industry is the total number of requirements that do not correspond to the production volumes available in the medicine industry system. One of the limitations of the Covid-19 medicine industry supply chain problems is the Covid-19 medicine industry supply, where medicine industry is a perishable product using Bacterial Foraging Optimization and the Singular Value Decomposition method. This research models the distribution of the Covid-19 medicine industry supply chain so that the model can be used to minimize the operating costs of hospital vaccination availability due to the level of demand and type of medicine industry using Bacterial Foraging Optimization and Singular Value Decomposition Method.
Supply chain, warehouse, distribution center, Deep learning, Bacterial Foraging Optimization and Singular Value Decomposition Method.