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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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
Transcribed Image Text:Question Three:
Milka makes boxes of chocolates for which the demand is uncertain. " Quarterly demand (in boxes of chocolates) for
the last 3 years follows:
Quarter
Year 1
Year 2
Year 3
1
3,000
3,300
3,502
2
1,700
2,100
2,448
900
1,500
1,768
4
4,400
5,100
5,882
Total
10,000
12,000
13,600
a-
Use intuition and judgment to estimate quarterly demand for the fourth year.
b-
Use weighted moving average to estimate the demand for every quarter in the fourth year.
Try to calculate the weights from historical data of last two years
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- Consider the following. March April May Month Demand. January 29 February March June April July May June July What is the forecast for July based on a three-month weighted moving average applied to the above past demand data and using the weights: data)? Show all the forecasts for April through June along with the answer Month Demand Forecast January 29 February 46 58 59 46 74 58 59 = 74 88 53 10 10 1:35:14 and (largest weight is for most recent 10arrow_forwardThe problem is based on the following data given. Observations of the demand for a certain part stocked at a parts supply depot during the calendar year 2013 were ( as shown ). What would an MA(1) forecasting method mean? Compare the accuracy of MA(1) and MA(4) forecasts for July through December 2013.arrow_forward1. Estimate the retails sales in the U. S. in 2011. billions of dollars = 2. Use the model to predict the year that corresponds to retails sales of $249 billion =arrow_forward
- The following are historical demand data: ACTUAL YEAR 2011 SEASON DEMAND Spring 201 Summer 142 Fall 380 Winter 578 2012 Spring 469 Summer 273 Fall Winter 683 963 Use regression analysis on deseasonalized demand to forecast demand in summer 2013. (Do not round intermediate calculations. Round your answer to the nearest whole number.) Forecast for summer 2013arrow_forwardDevelop a three-period moving average forecast for periods 13-15. Period 10 11 12 13 14 Demand 265 359 436 261 462 Calculate the forecasts for periods 13-15 by using a three-period moving average model (enter your responses rounded to the nearest whole number). Period Demand Forecast 10 265 11 359 12 436 13 261arrow_forward
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