Exam 7: Demand Forecasting in a Supply Chain

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

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What Excel function/feature should be used to minimize the mean squared error for an exponential smoothing model?

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For push processes,a manager must forecast what customer demand will be in order to

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A static time-series method should be used when the estimates for level,seasonality and trend may be based solely on historical data.

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

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Long-term forecasts have a larger standard deviation of error relative to the mean than short-term forecasts.

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

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Explain the basic,six-step approach to help an organization perform effective forecasting.

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One of the characteristics of forecasts is

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The forecast of demand forms the basis for all strategic and planning decisions in a supply chain.

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Forecasts are always wrong and therefore

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________ forecasting methods use historical demand to make a forecast.

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Personnel can utilize forecasts to make decisions concerning

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The goal of any forecasting method is to

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Scenario 7.2 - Gulab Greatness Historical demand for gulab jamun from a sweet stall on Commercial Road is as displayed in the table. Month Demand (orders) January 66,753 February 67,686 March 68,641 April 68,979 May 69,278 June 69,577 July 69,602 August 70,348 September 70,806 October 71,011 November 71,819 December 72,752 -Use exponential smoothing to forecast the demand for July.What is the forecast if α = 0.4 and the forecast for May was 69,000?

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The goal of any forecasting method is to predict the systematic component of demand and estimate the random component.

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What is the mean absolute percentage error?

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Aggregate forecasts are usually more accurate than disaggregate forecasts,as they tend to have a smaller standard deviation of error relative to the mean.

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The =MAPE(array1,array2)function in Excel can calculate the mean absolute percent error of any two data arrays of the same size.

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What is the largest value for the tracking signal (either under or overforecasting)?

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