Operations research and inventory management models

Operations Research (OR) plays a pivotal role in solving complex decision-making problems through scientific and mathematical modelling techniques. Among its various applications, inventory modelling holds significant importance in manufacturing, supply chain management, and service operations. This paper presents an in-depth analysis of inventory modelling in OR, exploring its evolution, mathematical foundations, practical implications, and advanced model types. By synthesizing classical theories and contemporary models such as deteriorating inventory, partial backlogging, inflation-affected inventories, and two-warehouse systems, this study provides a broad yet detailed perspective of inventory control. The literature review section offers a chronological survey of landmark contributions, emphasizing the relevance of dynamic and stochastic environments. Finally, the paper identifies future research directions, particularly in addressing uncertainty, sustainability, and integrated supply chain inventory optimization.

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Publication Details

Journal
International Journal of Physics and Mathematics
Published
2025-01-01
DOI
https://doi.org/10.33545/26648636.2025.v7.i2a.131
Primary Topic
Operations Management Techniques
Type
article
Field-Weighted Citation Impact
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article

Operations research and inventory management models

Harsh Vardhan, Vittal Gondkar
International Journal of Physics and Mathematics
Operations Management Techniques
article

Operations research and inventory management models

Harsh Vardhan, Vittal Gondkar
article en

Abstract

Operations Research (OR) plays a pivotal role in solving complex decision-making problems through scientific and mathematical modelling techniques. Among its various applications, inventory modelling holds significant importance in manufacturing, supply chain management, and service operations. This paper presents an in-depth analysis of inventory modelling in OR, exploring its evolution, mathematical foundations, practical implications, and advanced model types. By synthesizing classical theories and contemporary models such as deteriorating inventory, partial backlogging, inflation-affected inventories, and two-warehouse systems, this study provides a broad yet detailed perspective of inventory control. The literature review section offers a chronological survey of landmark contributions, emphasizing the relevance of dynamic and stochastic environments. Finally, the paper identifies future research directions, particularly in addressing uncertainty, sustainability, and integrated supply chain inventory optimization.

International Journal of Physics and MathematicsVol. 7(2)
Openalex Percentile: Top 75%
Operations Management Techniques
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