Past Year Questions: Forecasting Mechanical Engineering Notes | EduRev

Manufacturing and Industrial Engineering

Mechanical Engineering : Past Year Questions: Forecasting Mechanical Engineering Notes | EduRev

The document Past Year Questions: Forecasting Mechanical Engineering Notes | EduRev is a part of the Mechanical Engineering Course Manufacturing and Industrial Engineering.
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Question 1:The table presents the demand of a product .By simple three-months moving aver age method, the demand-forecast of the product for the month of September is 

[2019]

Question 2:The time series forecasting method that gives equal weightage to each of the most recent observation is

[2018]

Question 3:The demand for a two-wheeler was 900 units and 1030 units in April 2015 and May 2015, respectively.
The forecast for the month of April 2015 was 850 units. Considering a smoothing constant of 0.6, the forecast for the month of June 2015 is

[2016]

Question 4:Sales data of a product is given in the following table:
Past Year Questions: Forecasting Mechanical Engineering Notes | EduRev
Regarding forecast for the month of June, which one of the following statements is TRUE?

[2015]

Question 5:In exponential smoothening method, which one of the following is true?

[2014]

Question 6:In simple exponential smoothing forecasting, to give higher weightage to recent demand information, the smoothing constant must be close to

[2013]

Question 7:The demand and forecast for February are 12000 and 10275, respectively. Using single exponential smoothening method (smoothening coefficient = 0.25), forecast for the month of March is

[2010]

Question 8:Which of the following forecasting methods takes a fraction of forecast error into account for the next period forecast?

[2009]

Question 9:A moving average system is used for forecasting weekly demand. F1(t) and F2(t) are sequences of forecasts with parameters m1 and m2, respectively, where m1 and m2 (m1 > m2)  denote the numbers of weeks over which the moving averages are taken. The actual demand shows a step increase 

[2008]

Question 10:In an MRP system, component demand is

[2006]

Question 11:The sales of a product during the last four years were 860, 880,870 and 890 units. The forecast for the fourth year was 876 units. If the forecast for the fifth year, using simple exponential smoothing, is equal to the forecast using a three period moving average the value of the exponential smoothing constant Past Year Questions: Forecasting Mechanical Engineering Notes | EduRevis

[2005]

Question 12:For a product, the forecast and the actual sales for December 2002 were 25 and 20 respectively.
If the exponential smoothing constant (a) is taken as 0.2, the forecast sales for January 2003 would be

[2004]

Question 13:The sale of cycles in a shop in four consecutive months are given as 70, 68, 82, 95.
Exponentially smoothing average method with a smoothing factor of 0.4 is used in forecasting.
The expected number of sales in the next month is

[2003]

Question 14:A regression model is used to express a variable V as a function of another variable X, this implies that

[2002]

Question 15:When using a simple moving average to forecast demand, one would

[2001]

Question 16:In a time series forecasting model, the demand for five time periods was 10,13,15,18 and 22. A linear regression fit resulted in an equation F =  6.9 + 2.9 where F is the forecast for period f.
The sum of absolute deviations for the five data is

[2000]

Question 17:The most commonly used criteria for measuring forecast error is

[1997]

Question 18: In a forecasting model, at the end of period 13, the forecasted value for period 14 is 75. Actual value in the periods 14 to 16 are constant at 100.
If the assumed simple exponential smoothing parameter is 0.5, then the MSE at the end of period 16 is

[1997]

Question 19:Which of the following is a technique for forecasting?

[1989]

Question 20:Which one of the following forecasting techniques is not suited for making forecasts for planning Production schedules in the short range? 

[1988]                                                            


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