: Extrapolates historical patterns using methods like moving averages, exponential smoothing, and ARIMA models.
: Unlike "classic" forecasting that predicts a single number, this method assigns probabilities to all possible futures (e.g., lead times or demand spikes) to better manage uncertainty.
: Predictive techniques that estimate future demand.
Quantitative SCM relies on several specialized mathematical fields to solve complex logistical problems: