3483 Profit Analysis of Particle Swarm Optimization based Inventory System

Authors

  • Vikasdeep Yadav1 Author
  • Priyanka Verma1 Author
  • Jyoti Gupta2 Author

Abstract

Particle swarm optimization is a set of intelligent search tools used to solve suboptimal problems to reduce total inventory cost or maximize total profit. In this study, the particle swarm optimization (PSO) method was used to improve the overall results of the inventory model. Additionally, solutions for optimizing order quantity and cost effectiveness are discussed in detail. Here we consider a numerical example demonstrating the use of the design and, finally, we perform sensitivity analysis of the variable using the best product.

Published

2022-01-01

Issue

Section

Articles

How to Cite

3483 Profit Analysis of Particle Swarm Optimization based Inventory System. (2022). International Journal of Food and Nutritional Sciences, 11(10), 3483-3490. https://www.ijfans.org/index.php/Journal/article/view/11022