Free Online Flashcard Deck

2 Demand Forecasting Free Online FlashCards

Study 2 Demand Forecasting with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

What is a demand forecast?

Back

A demand forecast is an informed estimate of future customer demand, not a promise that actual demand will match it.

02
Front

How should a forecast horizon be chosen?

Back

The forecast horizon should match the decision: weekly replenishment calls for a shorter horizon than capacity planning months ahead.

03
Front

Why might recorded sales understate demand?

Back

Recorded sales can be lower than actual demand when a stockout prevents customers from buying what they wanted.

04
Front

How does the mean forecasting method make a forecast?

Back

The mean method forecasts every future period using the historical average: y^T+h∣T=yˉ\hat y_{T+h|T}=\bar y.

05
Front

What value does the naïve method forecast?

Back

The naïve method uses the latest observation as the forecast for every future period: y^T+h∣T=yT\hat y_{T+h|T}=y_T.

06
Front

How does the seasonal naïve method forecast?

Back

It forecasts each future period using demand from the matching season in the most recent cycle; for example, next January uses last January’s demand.

07
Front

What assumption does the drift method make?

Back

The drift method extends the average historical change per period, assuming that this average rate of change continues.

08
Front

How do trend and seasonality differ?

Back

Trend is sustained upward or downward movement; seasonality is a pattern that recurs at a known interval.

09
Front

What characterizes additive seasonality?

Back

In an additive pattern, seasonal effects are roughly constant in size as demand rises or falls: yt=Tt+St+Rty_t=T_t+S_t+R_t.

10
Front

What characterizes multiplicative seasonality?

Back

In a multiplicative pattern, seasonal swings change in proportion to the demand level: yt=Tt×St×Rty_t=T_t\times S_t\times R_t.

11
Front

What makes forecast evaluation out of sample?

Back

Evaluate using only information that would have been available at the forecast time, such as by holding back later observations or using rolling-origin evaluation.

12
Front

What do the signs of forecast errors indicate?

Back

Forecast error is actual demand minus forecast, et=yt−y^te_t=y_t-\hat y_t. Positive errors indicate underforecasting; negative errors indicate overforecasting.