The following time-series approach to forecasting uses historical data to generate a forecast and works well when demand is fairly stable over time:
A)Naïve Forecast
B)Weighted Moving Average
C)Simple Moving Average
D)Exponential Smoothing

Question

Quizplus · Accepted Answer

The Simple Moving Average (SMA) is a time-series approach that uses historical data to generate a forecast by calculating the average of a fixed number of past periods. It works well when demand is fairly stable over time, as it assumes that future demand will be similar to past demand. However, it may not be appropriate for highly volatile or seasonal demand patterns. The Naïve Forecast, Weighted Moving Average, and Exponential Smoothing are other time-series approaches to forecasting, but they may be more appropriate for different types of demand patterns.

The Following Time-Series Approach to Forecasting Uses Historical Data to Generate