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innovative methodology to model autocorrelation in demand to represent data distribution in bootstrapping in alternative to … corporation in Brazil, focusing on demand patterns and their impact on overall costs compared to leading-edge techniques. The …-edge techniques for erratic and lumpy demand. Results suggest that relaxing autocorrelation in bootstrapping samples could lead to …
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innovative methodology to model autocorrelation in demand to represent data distribution in bootstrapping in alternative to … corporation in Brazil, focusing on demand patterns and their impact on overall costs compared to leading-edge techniques. The …-edge techniques for erratic and lumpy demand. Results suggest that relaxing autocorrelation in bootstrapping samples could lead to …
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Forecasting demand and determining safety stocks are key aspects of supply chain planning. Demand forecasting involves … predicting future demand for a product or service using historical data and other external and internal drivers. Stockouts and … excess production can be reduced by accurately forecasting demand. This allows companies to plan production, inventory, and …
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