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A 1.6 MB dataset on figshare by Hanieh Karami, last updated May 2026, presents simulation results for an inventory system. The study integrates an LSTM neural network for demand forecasting within a Continuous-Time Markov Chain framework to optimize reorder points and order quantities. It models nonlinear demand patterns influenced by price, discounts, seasonality, and incorporates defective returns.
Data is licensed under CC-BY-4.0. Primary files are in JPG and DOCX formats, which may require specific tools for analysis and extraction of underlying data.