Question

In: Statistics and Probability

Franklin Tooling, Inc., manufactures specialty tooling for firms in the paper-making industry. All of their products...

Franklin Tooling, Inc., manufactures specialty tooling for firms in the paper-making industry. All of their products are engineer-to-order and so the company never knows exactly what components to purchase for a tool until a customer places an order. However, the company believes that weekly demand for a few components is fairly stable. Component 135.AG is one such item. The last 26 weeks of historical use of component 135.AG is recorded below.

Week

Demand

Week

Demand

1

137

14

131

2

136

15

132

3

143

16

124

4

136

17

121

5

141

18

127

6

128

19

118

7

149

20

120

8

138

21

115

9

134

22

106

10

142

23

120

11

125

24

113

12

134

25

121

13

118

26

119

Use OM Explorer’s Time Series Forecasting Solver to evaluate the following forecasting methods. Start error measurement in the fifth week, so all methods are evaluated over the same time interval. Use the default settings for initial forecasts.

  1. 3-Period Moving Average
  2. 3-Period Weighted Moving Average forecast with weights of 0.7, 0.2, and 0.1
  3. An Exponential Smoothing forecast using a starting forecast of 140 for week one and an α=0.25
  4. Which forecasting method should management use, if the performance criterion it chooses is:
    1. MSE
    2. MAD
    3. MAPE

Solutions

Expert Solution

Soln

i)

3-Period Moving Average = (Sum of Previous 3 Periods Value)/3

MAD = Average of Absolute Deviation = 5.88

MSE = Mean of Error2 = 56.05

MAPE = Mean of (Abs(Error/Demand)) * 100 = 4.74%

ii)

3-Period Weighted Moving Average forecast with weights of 0.7, 0.2, and 0.1

MAD = Average of Absolute Deviation = 6.02

MSE = Mean of Error2 = 66.26

MAPE = Mean of (Abs(Error/Demand)) * 100 = 4.88%

iii)

Simple Exponential Smoothing

Exponential Smoothing (Ft+1) = αYt + (1-α) Ft

MAD = Average of Absolute Deviation = 6.25

MSE = Mean of Error2 = 64.19

MAPE = Mean of (Abs(Error/Demand)) * 100 = 5.09%

iv)

a)

If we choose MSE as performance criteria, then we should use 3-Period Moving Average as it has the lowest MSE value

b)

If we choose MAD as performance criteria, then we should use 3-Period Moving Average as it has the lowest MAD value

c)

If we choose MAPE as performance criteria, then we should use 3-Period Moving Average as it has the lowest MAPE value

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