Comprehensive Analysis and Review of Particle Swarm Optimization Techniques and Inventory System

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The inventory cost function with Particle swarm optimization
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Published: Sep 30, 2022
DOI: https://doi.org/10.17762/ijfrcsce.v8i3.2107
Keywords:
Inventory control, Particle swarm optimization, Inventory policy, business, demand

Main Article Content

Priyanka Verma
Research scholar, Bhagwant University Ajmer, Rajasthan
B K Chaturvedi
Department of Mathematics, Bhagwant University Ajmer, Rajasthan
A K Malik
School of Sciences, UP Rajarshi Tandon Open University Prayagraj, U.P.

Abstract

The main aim of this study work is to discuss the applications of Particle Swarm Optimization (PSO) Techniques and inventory system in engineering and science. Holding and dealing with of a stock item is one of the crucial work for minimum cost and the control running of any commercial enterprise corporation to be it a five-star hotel, a publication house, a production enterprise or a hospital. PSO has numerous application in the area of commercial enterprise and industries. Inventories constitute a huge part of the entire belongings of a corporation, and enormous attempt is needed to manipulate the inventories. In the provision of very restrained assets in nations like India, Sri Lanka, Nepal, Bhutan, Bangladesh, Pakistan, etc., then an obligation of usage of assets with the most efficient way need to be prioritized. Therefore, the control of the substances and stock manipulate play an essential position with the control of productivity. It is hoped that this discussion would be important for researchers using PSO with inventory control.

Article Details

How to Cite
Verma, P. ., Chaturvedi, B. K. ., & Malik, A. K. . (2022). Comprehensive Analysis and Review of Particle Swarm Optimization Techniques and Inventory System. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 8(3), 111–115. https://doi.org/10.17762/ijfrcsce.v8i3.2107
Issue
Vol. 8 No. 3 (2022)
Section
Articles
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This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

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