Exam 5: Demand Forecasting

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The goal of a good forecasting technique is to achieve 98.7% accuracy between the forecast and actual demand.

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CPFR is more likely to succeed if companies educate their employees on the benefits of the process changes and the disadvantages of maintaining the status quo.

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The equation for a simple linear regression that saw sales averaging $225,000 over the last ten periods,and advertising budgets averaging $3,000 over the last 10 periods is:Y = 3250 + 120xThis indicates that a $1 increase in advertising will increase sales by:

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If you felt that recent demand trends were more significant,and thus should be emphasized more in formulating a forecast,then in forecasting demand for the upcoming demand period,you would probably favor using a simple moving average over the conventional weighted moving average.

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Given the following information,calculate the forecast (accurate to 2 decimals)for period three using exponential smoothing and ? = 0.3. Period Demand Forecast 1 64 59 2 70

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If you were calculating a forecast using an exponential smoothing model,a calculation using α = 0.2 would be putting a greater emphasis on recent data,while a calculation using α = 0.8 would be putting a greater emphasis on past data.Thus a lower α is more responsive to changes in demand in the most recent periods.

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Qualitative methods of forecasting include which of the following:

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Use the data set below (Data Set E3)to answer the questions that follow.Data Set E3 Period Sales Volume 1 1000 2 1200 3 1450 4 1750 5 2200 6 2750 ​ a.Find the four-period simple moving average forecasts for Periods 5 and 6. b.Find the four-period weighted moving average forecasts for Periods 5 and 6 using weights of 0.05, 0.15, 0.30, and 0.50 from the earliest period to the latest period, respectively. c.Which set of forecasts is more accurate, the simple moving average forecasts or the weighted moving average forecasts? Why is that set of forecasts more accurate in this particular case (using Data Set E3)? d.Will that type of forecast always be more accurate? Why or why not?

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According to textbook,the top three challenges for CPFR implementation include all of the following except:

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The exponential smoothing forecast has the same value as the naïve forecast when α in the exponential smoothing model is equal to:

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Period Sales Volume 1 10000 2 12400 3 14250 4 15750 5 20500 6 18500 7 15750 8 20500 9 21500 10 22550 -Using Data Set E1,what would be the forecast for period 6 using a five period weighted moving average? The weights for each period are 0.05,0.10,0.20,0.30,and 0.35 from the oldest period to the most recent period,respectively.(Choose the closest answer.)

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What does the acronym CPFR represent?

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Some measures of forecasting accuracy include mean absolute deviation,mean absolute percentage error,and mean squared error.The formula for each is dependent on the forecast error,which is calculated by using the equation:

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Period Sales Volume 1 10000 2 12400 3 14250 4 15750 5 20500 6 18500 7 15750 8 20500 9 21500 10 22550 -Using Data Set E1,what would be the forecast for period 6 using the exponential smoothing method? Assume the forecast for period 5 is 14000.Use a smoothing constant of ? = 0.4 (Choose the closest answer.)

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Period Sales Volume 1 10000 2 12400 3 14250 4 15750 5 20500 6 18500 7 15750 8 20500 9 21500 10 22550 -Using Data Set E1,what would be the forecast for period 7 using a four period moving average: (Choose the closest answer.)

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Inaccurate forecasts can result in negative outcomes like:

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The goal of a good forecasting technique is to minimize the deviation between actual demand and the forecast.

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Which of the following statements is FALSE:

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According to the text,the ultimate goal of any forecasting endeavor is to have an accurate and unbiased forecast.

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Quantitative forecasting methods are based on opinions and intuition,whereas qualitative forecasting methods use mathematical models and relevant historical data to generate forecasts.

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