Exam 7: Demand Forecasting in a Supply Chain

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The resulting accuracy of a collaborative forecast enables supply chains to be

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Use Solver to determine the alpha that minimizes the MAD for the ten period forecast for the data that appear in this table. Use the actual demand as the forecast for period 1 and then use exponential smoothing. Period Demand 1 300 2 250 3 200 4 500 5 128 6 184 7 166 8 191 9 167 10 177

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Forecasting methods that assume that the demand forecast is highly correlated with certain factors in the environment (e.g., the state of the economy, interest rates, etc.) to make a forecast are known as

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In general, the further up the supply chain a company is (or the further they are from the consumer),

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The basis for all strategic and planning decisions in a supply chain comes from

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One of the characteristics of forecasts is

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The moving average forecast method is used when demand has an observable trend or seasonality.

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The measure of how significantly a forecast method consistently over- or underestimates demand is

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Personnel can utilize forecasts to make decisions concerning

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The result of each stage in the supply chain making its own separate forecast is

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Forecasting methods that imitate the consumer choices that give rise to demand to arrive at a forecast are known as

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Period Demand 1 173 2 177 3 180 4 151 5 168 6 184 7 198 8 191 9 167 10 177 Develop a forecast for this data using simple exponential smoothing with an alpha of 0.66. Then calculate MAD, MSE and the tracking signal.

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The multiplicative form of the systematic component of demand is shown as

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