An Optimized Single Warehouse Inventory Model for Decaying Goods with Time and Price Dependent Demand and Time Dependent Holding Cost Using the ABC Algorithm
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https://doi.org/10.14419/vz3h5m62
Received date: May 15, 2025
Accepted date: May 24, 2025
Published date: June 13, 2025
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Inventory Model; Deteriorating Items; Time and Price Dependent Demand; Time-Dependent Holding Cost; Complete Backlogging; Artificial Bee Colony Algorithm; Optimization; Sensitivity Analysis -
Abstract
This paper presents a single-warehouse inventory model for items subject to deterioration, where shortages are fully backlogged. The model considers a demand rate that is dependent on both time and selling price, while the holding cost is assumed to be a linear function of time. To enhance the practical applicability of the model, deterioration and shortage costs are also included in the total cost function. The main objective is to minimize the total inventory cost by determining the optimal cycle length and selling price. The Artificial Bee Colony (ABC) algorithm, a nature-inspired metaheuristic, is applied to efficiently solve the nonlinear optimization problem associated with the model. A numerical example illustrates the effectiveness of the proposed approach, and a sensitivity analysis is conducted to examine the impact of key parameters on the total cost. The results demonstrate that the ABC algorithm performs robustly under varying conditions and provides a reliable tool for optimizing inventory decisions involving deteriorating items.
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How to Cite
Abid , M. ., Yadav , A. S. ., Viswanathan, B. ., & Shivani. (2025). An Optimized Single Warehouse Inventory Model for Decaying Goods with Time and Price Dependent Demand and Time Dependent Holding Cost Using the ABC Algorithm. International Journal of Basic and Applied Sciences, 14(2), 219-225. https://doi.org/10.14419/vz3h5m62
