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DETERMINATION OF NEAR OPTIMAL STOCK LEVELS FOR MULTI-ECHELON DISTRIBUTION INVENTORIES.
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DETERMINATION OF NEAR OPTIMAL STOCK LEVELS FOR MULTI-ECHELON DISTRIBUTION INVENTORIES. (1993)DETERMINATION OF NEAR OPTIMAL STOCK LEVEL…A demand forecast model using a combination of surrogate data analysis and optimal neural network approach (2012)A demand forecast model using…The Bullwhip Effect In Supply Chains 1 (1997)Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information (2000)The bullwhip effect in supply chains (2015)Best performance modeling using complementary DEA-ANN approach (2016)Using Machine Learning for Enhancing the Understanding of Bullwhip Effect in the Oil and Gas Industry (2019)A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting (2024)
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  • 2012A demand forecast model using a combination of surrogate data analysis and optimal neural network approach46 cited

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