Answer: A. Reduce the lead time over which forecasts are required to reduce the forecast error.
B. Build more flexibility into the operations and the supply chain.
C. Develop a better forecasting method.
Explanation: Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends.
A commonplace example might be an estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term.
A forecast error is the difference between the actual or real and the predicted or forecast value of a time series or any other phenomenon of interest. By convention, the error is defined using the value of the outcome minus the value of the forecast.