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• W3195048946 abstract "This article develops a deterministic inventory model for the wine industry for item spoilage with two storage systems and a time-dependent demand with partial bottlenecks. The inventory is transferred to OW according to the RW Bulk Discharge model and transport costs are considered negligible. The decline in the two camps is constant, but different due to the different storage methods. Use of particle swarm optimization as part of the LOFO shipping policy. The cost of ownership is considered constant up to a certain point in time and increases. Optimization of the particle swarm with different population sizes is second-hand to get to the bottom of the model. In this particle swarm optimization, a compartment of the best children is incorporated in the parent population for the next generation, and the size of that subset is a percentage of the size of their parent set. The digital sample is presented to make obvious the development of Modusland for corroboration. The kindliness analysis is performed separately for each parameter." @default.
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• W3195048946 date "2021-01-01" @default.
• W3195048946 modified "2023-10-16" @default.
• W3195048946 title "A Wine Industry Inventory Model for Deteriorating Items with Two-Warehouse Under LOFO Dispatching Policy Using Particle Swarm Optimization" @default.
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• W3195048946 doi "https://doi.org/10.1007/978-981-16-1729-4_10" @default.
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