Papers by Dr. Nitish Kumar Bharadwaj

Seventh Sense Research Group®, 2024
This manuscript explores the critical role of optimization methods in addressing various challeng... more This manuscript explores the critical role of optimization methods in addressing various challenges associated with inventory management. Effective inventory management is essential for maintaining operational efficiency, minimizing costs, and enhancing customer satisfaction. This paper provides a comprehensive review of key optimization techniques, including Economic Order Quantity (EOQ)[1], Just-In-Time (JIT)[2], ABC analysis[9], dynamic programming[4], and machine learning[5], among others. Each technique is discussed in the context of specific inventory problems, such as stockouts, overstocking, demand variability, and lead time uncertainty. Through detailed analysis and case studies, the manuscript demonstrates how these techniques can be applied to real-world scenarios to optimize inventory levels, reduce costs, and improve overall supply chain performance. The findings highlight the importance of selecting appropriate optimization methods based on the unique characteristics of the inventory problem at hand, offering valuable insights for both practitioners and researchers in the field of supply chain management.
International Journal of Research and Analytical Reviews, 2019
In this paper we have discussed global optimization problems and its solutions.

International Journal of Mathematics Trends and Technology, 2023
Wholesaling vegetables stands as a major problem in the business market. The main role of the who... more Wholesaling vegetables stands as a major problem in the business market. The main role of the wholesaler is to supply the vegetables raw and fresh to retail supermarkets on a daily basis. The challenge here lies in getting done with this task efficiently with minimum time and maximum profit. The wholesaler has to collect different kinds of vegetables (objects) from different sources (resources), in order to sell the vegetables in different marketplaces (objects). Mathematically, this problem can be viewed as a multi-objective multi-resource (MOMR) problem, in which the ultimate goal is to reduce the time and increase the profit attained. For such a MOMR Knapsack problem, the Fuzzy solution model is applied in this work to present efficient wholesaling of vegetables. The defined objective function for the Fuzzy solution model considers possible profit, demand, and cost of travel. This work is proceeded with an assumption that all the vegetables are available for all the resources. The performance of the proposed model is then evaluated and compared with the existing works for validation.
International Journal of Advanced Research in Science, Communication and Technology, Mar 28, 2023
This paper contained some notations connected with algebraic number theory and indicates some of ... more This paper contained some notations connected with algebraic number theory and indicates some of its applications in the Gaussian field namely K(i) = (−1)..
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Papers by Dr. Nitish Kumar Bharadwaj