3 March 2022
Updates
The essence and importance of collateral inventory and its implications with demand forecast errors
Collateral inventory is held to protect against demand volatility (demand deviations from forecasts) and variability in replenishment cycle time. The right level Safety stock avoids […]
15 February 2022
Prediction intervals (PPs) offer a convenient way to quantify forecast uncertainty, so they have been widely used in forecasting practice. PPs can provide information about best- […]
28 January 2022
Updates
Recurrent neural networks
Recursive Neural Networks (RNNs) are used to model and predict variables that evolve over time. Unlike standard neural networks, they have the ability to remember the […]