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3.8: End of Chapter Problems

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Problem #1

Below are monthly sales of light bulbs from the lighting store.

Month Sales
Jan 255
Feb 298
Mar 357
Apr 319
May 360
June  

.
Forecast sales for June using the following

  1. Naïve method
  2. Three- month simple moving average
  3. Three-month weighted moving average using weights of .5, .3 and .2
  4. Exponential smoothing using an alpha of .2 and a May forecast of 350.

Solution

  1. 360
  2. (357 + 319 + 360) / 3 = 345.3
  3. 360 x .5 + 319 x .3 + 357 x .2 = 347.1
  4. 350 + .2(360 – 350) = 352

Problem #2

Demand for aqua fit classes at a large Community Center are as follows for the first six weeks of this year.

Week Demand
1 162
2 158
3 138
4 190
5 182
6 177
7  

.
You have been asked to experiment with several forecasting methods. Calculate the following values:

  1. a) Forecast for weeks 3 through week 7 using a two-period simple moving average
  2. b) Forecast for weeks 4 through week 7 using a three-period weighted moving average with weights of .6, .3 and .1
  3. c) Forecast for weeks 4 through week 7 using exponential smoothing. Begin with a week 3 forecast of 130 and use an alpha of .3

Solution

Week

Demand

a)

b)

c)

1

162

     

2

158

     

3

138

(162 + 158) / 2 = 160

 

130

4

190

(158 + 138) / 2 = 148

138 x .6 + 158 x .3 + 162 x .1 = 146.4

130 + .3 x (138 – 130) = 132.4

5

182

(138 + 190) / 2 = 164

190 x .6 + 138 x .3 + 158 x .1 = 171.2

132.4 + .3 x (190 – 132.4) = 149.7

6

177

(190 + 182) / 2 = 186

182 x .6 + 190 x .3 + 138 x .1 = 180

149.7 + .3 x (182 – 149.7) = 159.4

7

 

(182 + 177) / 2 = 179.5

177 x .6 + 182 x .3 + 190 x .1 = 179.8

159.4 + .3 x (177 – 159.4) = 164.7

Problem #3

Sales of a new shed has grown steadily from the large farm supply store. Below are the sales from the past five years. Forecast the sales for 2018 and 2019 using exponential smoothing with an alpha of .4. In 2015, the forecast was 360. Calculate a forecast for 2016 through to 2020.

Year

Sales

Forecast

2015

348

360

2016

372

 

2017

311

 

2018

371

 

2019

365

 

2020

   

.
Solution

Year

Sales

Forecast

2015

348

360

2016

372

360 + .4 x (348 – 360) = 355.2

2017

311

355.2 + .4 x (372 – 355.2) = 361.9

2018

371

361.9 + .4 x (311 – 361.9) = 341.6

2019

365

341.6 + .4 x (371 – 341.6) = 353.3

2020

 

353.3 + .4 x (365-353.3) = 358.0

Problem #4

Below is the actual demand for X-rays at a medical clinic. Two methods of forecasting were used. Calculate a mean absolute deviation for each forecast method. Which one is more accurate?

Week Actual Demand Forecast #1 Forecast #2
1 48 50 50
2 65 55 56
3 58 60 55
4 79 70 85

Solution

Week

Actual Demand

Forecast #1

IerrorI

Forecast #2

IerrorI

1

48

50

2

50

2

2

65

55

10

56

9

3

58

60

2

55

3

4

79

70

9

85

6

   

Mean Abs Deviation:

5.75

Mean Abs Deviation:

5


3.8: End of Chapter Problems is shared under a CC BY-NC 4.0 license and was authored, remixed, and/or curated by LibreTexts.

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