Abstract
In this context, efficient and effective inventory management of perishable commodities is required to reduce losses due to deterioration. Furthermore, several factors such as shelf-life pricing, stock, and time-dependent influence product demand. The deterioration rate is taken as cubic function. As a result of this study, an inventory model for perishable components is developed that is confined by both physical and freshness condition degradations. In addition, the holding cost is modelled as a constant function of time. Some numerical examples are presented to demonstrate the use the inventory model. Finally, a sensitivity analysis is performed in order to see the optimal solution with respect to varying parameters.
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This article is part of the topical collection “Advanced Theories and Algorithms for Next-generation Recommender Systems” guest edited by Shoujin Wang, Lin Xiao, Marko Tkalcic and Julian McAuley.
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Paul, K.C., Sahoo, C.K. & Sarangi, M.R. An Inventory Model for Perishable Items with Cubic Deterioration Rate Having Shelf-Life Price, Stock, and Time-Dependent Demand Rate. SN COMPUT. SCI. 5, 407 (2024). https://doi.org/10.1007/s42979-024-02676-w
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DOI: https://doi.org/10.1007/s42979-024-02676-w