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Journal of Mathematical Problems, Equations and Statistics
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P-ISSN: 2709-9393, E-ISSN: 2709-9407
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2025, Vol. 6, Issue 2, Part B


Integrated inventory models under time-dependent demand, deterioration, lost sales, and trade credit in a supply chain environment


Author(s): Vittal Gondkar and Harsh Vardhan

Abstract: Inventory management continues to mainly evolve as the global supply chains face increasing complexity from the market volatility, inflationary trends, customer behaviour, as well as the supply network form of dependencies. This paper presents an integrated technique to inventory modelling that carries deterministic and probabilistic call for, volume flexibility, product deterioration, lost income, and permissible put off in payments. Three principal stock modelling frameworks are explored, specifically deterministic-probabilistic models with quantity flexibility and lost sales, ramp-type seasonal call for fashions with deterioration, and integrated seller-purchaser fashions with trade credit underneath inflation. Mathematical formulations are derived for every model, followed via optimization conditions and solution algorithms. Numerical illustrations support the sensible utility of the proposed models. This examines gives considerable theoretical and sensible insights for inventory and delivers chain optimization.

DOI: https://doi.org/10.22271/math.2025.v6.i2b.225

Pages: 198-202 | Views: 183 | Downloads: 66

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Journal of Mathematical Problems, Equations and Statistics
How to cite this article:
Vittal Gondkar and Harsh Vardhan. Integrated inventory models under time-dependent demand, deterioration, lost sales, and trade credit in a supply chain environment. Journal of Mathematical Problems, Equations and Statistics. 2025; 6(2): 198-202. DOI: 10.22271/math.2025.v6.i2b.225
Journal of Mathematical Problems, Equations and Statistics
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