Authors : Dr. Pushpendra Kumar; Vikash Ranwa

Volume/Issue : Volume 11 - 2026, Issue 4 - April

Google Scholar : https://tinyurl.com/mry6bxt9

Scribd : https://tinyurl.com/3rfdtmwv

DOI : https://doi.org/10.38124/ijisrt/26apr2522

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Abstract : This paper presents a carbon emissions-based inventory model that represents the impact of learning on ordering, deterioration, and storage costs in both owned and rented warehouses. The demand for perishable items is rising at an exponential rate. Perishable commodities have a high rate of deterioration and must be properly kept because their quality deteriorates quickly. When preservation technology is used, a lot of carbon units are released since the generator burns fuel and electricity, both of which are bad for the environment. To lower these emissions, governments impose additional carbon taxes. The term "green packaging cost" refers to the cost of using appropriate packaging strategies to preserve the product quality, safety, and environmental compatibility of green deteriorating items. When stock levels in a two-storage system for perishable items hit zero, the proposed model aims to minimize the total inventory cost per unit time during the cycle. It accomplishes this by specifically taking preservation and carbon emission costs into consideration. The model has been authenticated with a numerical example. As a result, the model has real-world applications and potential future study avenues.

Keywords : Learning Effect, Preservation Technology, Deterioration, Owned Warehouse, Rented Warehouse, Carbon Emissions, Exponential Demand.

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