Mathematical Methods for Inventory Management in Dynamic Supply Chains
Open Access
Online Resource
Type Journal Article
Year 2025
Language English
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Academic Writing & Publishing

Mathematical Methods for Inventory Management in Dynamic Supply Chains

Yasser A. Davizón , Carlos Hernández-Santos, Nain de la Cruz, Roxana Garcia-Andrade, Arnoldo Fernández Ramirez, Amadeo Hernández
External / Open Access

Abstract

This research communication aims to present three mathematical methods for analyzing inventory management in dynamic supply chains, starting from the basic definition in differential equations for inventory levels, which relates with production and demand rates. Initially, the study adopts a systemic perspective to examine the role of energy within a production–inventory system. Subsequently, the analysis focuses on inventory dynamics under parameters expressed in complex variables, with the aim of quantifying fluctuations in a generic production system and demonstrating the influence of inventory variation rates on system behavior. Finally, the investigation addresses the impact of variable capacity on production system inventories, drawing on analogies with corresponding physical systems to support the analysis.
Full Title Mathematical Methods for Inventory Management in Dynamic Supply Chains
Primary Author Yasser A. Davizón
Co-Authors Carlos Hernández-Santos, Nain de la Cruz, Roxana Garcia-Andrade, Arnoldo Fernández Ramirez, Amadeo Hernández
Publication Type Journal Article
Year 2025
Journal Systems
Volume / Issue Vol. 13, No. 10
Pages 909
Category Academic Writing & Publishing
Institution External / Open Access
Access Open Access
Added to Library March 24, 2026

Cite This Publication

APA
Yasser A. Davizón, Carlos Hernández-Santos, Nain de la Cruz, Roxana Garcia-Andrade, Arnoldo Fernández Ramirez, Amadeo Hernández (2025). Mathematical Methods for Inventory Management in Dynamic Supply Chains. *Systems*, 13(10), 909.
MLA
Yasser A. Davizón. "Mathematical Methods for Inventory Management in Dynamic Supply Chains." *Systems*, vol. 13, no. 10, 2025, pp. 909.
DOI
https://doi.org/10.3390/systems13100909