Inventory Models In Business And Industry: A Comparative Review And Analytical Study

Author(s)	Mr. Khalid Dilawar Aaglawne, Dr. Harsh Vardhan .
Country	India
Abstract	Efficient inventory management is a cornerstone of successful business and industrial practices. It not only ensures uninterrupted operations but also minimizes costs and improves customer satisfaction. This paper conducts a comparative evaluation of major inventory models, including Economic Order Quantity (EOQ), Just-In-Time (JIT), stochastic approaches, multi-echelon frameworks, and advanced Artificial Intelligence (AI)-based systems. Their theoretical bases, practical uses, advantages, and limitations are examined in detail. Drawing from extensive literature and case-based evidence, the study shows that no single model universally fits all contexts. Instead, organizations benefit most from hybrid or situation-specific approaches that align with strategic objectives and operational conditions.
Keywords	Inventory Models, Supply Chain, Business, Industry, EOQ, JIT, Stochastic Models, Multi-Echelon, AI-driven Inventory
Field	Mathematics
Published In	Volume 7, Issue 5, September-October 2025
Published On	2025-09-17
DOI	https://doi.org/10.36948/ijfmr.2025.v07i05.55905

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