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Introduction to Forecasting COB 291 Spring 2000
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Page 1: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Introduction to Forecasting

COB 291

Spring 2000

Page 2: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Forecasting

A forecast is an estimate of future demand Forecasts contain error Forecasts can be created by subjective means

by estimates from informal sources OR forecasts can be determined

mathematically by using historical data OR forecasts can be based on both subjective

and mathematical techniques.

Page 3: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Qualitative Approaches

Executive committee consensus Delphi method Survey of sales force Survey of customers Historical analogy Market research

Page 4: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Quantitative Approaches

Based on the assumption that the “forces” that generated the past demand will generate the future demand (i.e., history will tend to repeat itself)

Analysis of the past demand pattern provides a good basis for forecasting future demand

Page 5: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Quantitative Approaches

Simple Linear Regression– Relationship between one independent variable,

x, and a dependent variable, y– Assumed to be linear– Form: Y=a+bX

• Y=dependent variable

• a=y-intercept

• X=independent variable

• b=slope of the regression line

Page 6: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Quantitative Methods - L.S. Regression ExamplePerfect Lawns, Inc., intends to use sales of

lawn fertilizer to predict lawn mower sales. The store manager feels that there is probably a six-week lag between fertilizer sales and mower sales. The pertinent data are shown below. =>

Page 7: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Quantitative Methods - L.S. Regression ExamplePeriod Fertilizer Sales Number of Mowers Sold

(Tons) (Six-Week Lag)

1 1.7 11

2 1.4 9

3 1.9 11

4 2.1 13

5 2.3 14

6 1.7 10

7 1.6 9

8 2 13

9 1.4 9

10 2.2 16

11 1.5 10

12 1.7 10

A) Use the least squares method to obtain a linear regression line for the data.

Page 8: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Quantitative Methods - L.S. Regression ExamplePeriod Fertilizer Sales Number of Mowers Sold (X) (Y) X2 Y2

(Tons) (X) (Six-Week Lag) (Y)

1 1.7 11 18.7 2.89 121

2 1.4 9 12.6 1.96 81

3 1.9 11 20.9 3.61 121

4 2.1 13 27.3 4.41 169

5 2.3 14 32.2 5.29 196

6 1.7 10 17.0 2.89 100

7 1.6 9 14.4 2.56 81

8 2 13 26.0 4.00 169

9 1.4 9 12.6 1.96 81

10 2.2 16 35.2 4.84 256

11 1.5 10 15.0 2.25 100

12 1.7 10 17.0 2.89 100

Page 9: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Quantitative Methods - L.S. Regression ExamplePeriod Fertilizer Sales Number of Mowers Sold (X) (Y) X2 Y2

(Tons) (X) (Six-Week Lag) (Y)

1 1.7 11 18.7 2.89 121

2 1.4 9 12.6 1.96 81

3 1.9 11 20.9 3.61 121

4 2.1 13 27.3 4.41 169

5 2.3 14 32.2 5.29 196

6 1.7 10 17.0 2.89 100

7 1.6 9 14.4 2.56 81

8 2 13 26.0 4.00 169

9 1.4 9 12.6 1.96 81

10 2.2 16 35.2 4.84 256

11 1.5 10 15.0 2.25 100

12 1.7 10 17.0 2.89 100

SUM 21.5 135 248.9 39.55 1575

Page 10: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Quantitative Methods - L.S. Regression Example

b

n X Y X Y

n X X

( )( )2 2

Page 11: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Quantitative Methods - L.S. Regression Example

b

( )( . ) ( . )( )

( )( . ) ( . )

.

..

12 248 9 215 135

12 39 55 215

84 3

12 356 826

2

Page 12: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Quantitative Methods - L.S. Regression Example

a

Y

n

b X

n

135

12

6 826 215

120 98

( . )( . ).

Page 13: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Quantitative Methods - L.S. Regression Example

Y X

Y

e

e

0 98 6 826

0 98 6 826 2 12 67

. . ( )

. . ( ) .

Predict lawn mower sales for the first week in August, given fertilier

sales six weeks earlier of two tons.

lawn mowers

Page 14: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Analysis

A time series is a set of numbers where the order or sequence of the numbers is important, e.g., historical demand

Analysis of the time series identifies patterns

Once the patterns are identified, they can be used to develop a forecast

Page 15: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models

Simple moving average Weighted moving average Exponential smoothing (exponentially

weighted moving average)– Exponential smoothing with random fluctuations– Exponential smoothing with random and trend– Exponential smoothing with random and

seasonal component

Page 16: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Simple Moving Average

Sample Data (3-period moving average) t Dt Ft Dt-Ft | Dt-Ft |

Quarter Actual Demand Forecast Error Error

1 100

2 110

3 110

4 ? (100+110+110)/3=106.67

Page 17: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Simple Moving Average

Sample Data (3-period moving average) t Dt Ft Dt-Ft | Dt-Ft |

Quarter Actual Demand Forecast Error Error

1 100

2 110

3 110

4 80 (100+110+110)/3=106.67 80-106.67=-26.67 26.67

Page 18: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Simple Moving Average

Sample Data (3-period moving average) t Dt Ft Dt-Ft | Dt-Ft |

Quarter Actual Demand Forecast Error Error

1 100

2 110

3 110

4 80 (100+110+110)/3=106.67 80-106.67=-26.67 26.67

5 ? (110+110+80)/3 = 100.00

Page 19: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Simple Moving Average

Sample Data (3-period moving average) t Dt Ft Dt-Ft | Dt-Ft |

Quarter Actual Demand Forecast Error Error

1 100

2 110

3 110

4 80 (100+110+110)/3=106.67 80-106.67=-26.67 26.67

5 100 (110+110+80)/3 = 100.00 0 0

Page 20: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Exponential smoothing (exponentially weighted moving average)

S D S

F St t t

t t

( )1 1

1

Page 21: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Exponential smoothing (exponentially weighted moving average)

Where

t=time period

St=smoothed average at end of period t

Dt=actual demand in period t

=smoothing constant (0<<1)

Ft=forecast for period t

Page 22: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Exponential smoothing (exponentially weighted moving average)

Sample Data (alpha = 0.2) t Dt St Ft Dt-Ft

Quarter Actual Demand Smoothed Average Forecast Error

0 100

Page 23: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Exponential smoothing (exponentially weighted moving average)

Sample Data (alpha=0.2) t Dt St Ft Dt-Ft

Quarter Actual Demand Smoothed Average Forecast Error

0 100

1 ? 100

Page 24: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Exponential smoothing (exponentially weighted moving average)

Sample Data (alpha=0.2) t Dt St Ft Dt-Ft

Quarter Actual Demand Smoothed Average Forecast Error

0 100

1 100 100

Page 25: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Exponential smoothing (exponentially weighted moving average)

Sample Data (alpha=0.2) t Dt St Ft Dt-Ft

Quarter Actual Demand Smoothed Average Forecast Error

0 100

1 100 100 100-100=0

Page 26: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Exponential smoothing (exponentially weighted moving average)

Sample Data (alpha=0.2) t Dt St Ft Dt-Ft

Quarter Actual Demand Smoothed Average Forecast Error

0 100

1 100 .2(100)+.8(100)=100 100 100-100=0

Page 27: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Exponential smoothing (exponentially weighted moving average)

Sample Data (alpha=0.2) t Dt St Ft Dt-Ft

Quarter Actual Demand Smoothed Average Forecast Error

0 100

1 100 .2(100)+.8(100)=100 100 100-100=0

2 ? 100

Page 28: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Exponential smoothing (exponentially weighted moving average)

Sample Data (alpha=0.2) t Dt St Ft Dt-Ft

Quarter Actual Demand Smoothed Average Forecast Error

0 100

1 100 .2(100)+.8(100)=100 100 100-100=0

2 110 100 110-100=10

Page 29: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Exponential smoothing (exponentially weighted moving average)

Sample Data (alpha=0.2) t Dt St Ft Dt-Ft

Quarter Actual Demand Smoothed Average Forecast Error

0 100

1 100 .2(100)+.8(100)=100 100 100-100=0

2 110 .2(110)+.8(100)=102 100 110-100=10

Page 30: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Exponential smoothing (exponentially weighted moving average)

Sample Data (alpha=0.2) t Dt St Ft Dt-Ft

Quarter Actual Demand Smoothed Average Forecast Error

0 100

1 100 .2(100)+.8(100)=100 100 100-100=0

2 110 .2(110)+.8(100)=102 100 110-100=10

3 ? 102

Page 31: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Exponential smoothing (exponentially weighted moving average)

Sample Data (alpha=0.2) t Dt St Ft Dt-Ft

Quarter Actual Demand Smoothed Average Forecast Error

0 100

1 100 .2(100)+.8(100)=100 100 100-100=0

2 110 .2(110)+.8(100)=102 100 110-100=10

3 110 102 110-102=8

Make forecasts for periods 4-12.

Page 32: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Forecast Error

2 error measures:

Bias

tells direction (i.e., over or under forecast)

Mean Absolute Deviation

tells magnitude of forecast error

( )D F

n

t t

D F

n

t t

Page 33: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Characteristics of Good Forecasts

Stability Responsiveness Data Storage Requirements

Page 34: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

BESM Example Cont’d

Page 35: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

BESM - Expanded

The Basic Exponential Smoothing Model (BESM) is nothing more than a cumulative weighted average of all past demand (and the initial smoothed average).

Proof:

Page 36: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Demand Data with Trend

Page 37: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Time Series Models Exponential smoothing with trend enhancement

S D S T

T S S T

F S nT

t t t t

t t t t

t n t t

( )( )

( ) ( )

1

11 1

1 1

Page 38: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.
Page 39: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Demand Data with Trend and Seasonality

t Dt

0 1 402 703 604 885 706 1207 1008 130

Page 40: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Basic Model Applicationbase smoothing constant, alpha, =.20

Page 41: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

This spreadsheet updates the ES model for Quarters 1 through 8 and makesforecasts for Quarters 9 through 12.

alpha= 0.20beta= 0.00gamma= 0.00

t Dt St Tt It Ft Dt-Ft ABS0 40.00 0.001 40.00 40.00 0.00 1.00 40.00 0.00 0.002 70.00 46.00 0.00 1.00 40.00 30.00 30.003 60.00 48.80 0.00 1.00 46.00 14.00 14.004 88.00 56.64 0.00 1.00 48.80 39.20 39.205 70.00 59.31 0.00 1.00 56.64 13.36 13.366 120.00 71.45 0.00 1.00 59.31 60.69 60.697 100.00 77.16 0.00 1.00 71.45 28.55 28.558 130.00 87.73 0.00 1.00 77.16 52.84 52.849 1.00 87.73

10 1.00 87.7311 1.00 87.7312 1.00 87.73

29.83 29.83BIAS MAD

Page 42: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

FORECASTING DEMO

0.0020.0040.0060.0080.00

100.00120.00140.00

1 2 3 4 5 6 7 8

Period

Demand (D)

Forecast (F)

Forecast Error (D-F)

Abs. Forecast Error | D-F |

Page 43: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Trend-Enhanced Applicationbase smoothing constant, alpha, = .20 and trend smoothing constant, beta, = .30

Page 44: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

This spreadsheet updates the ES model for Quarters 1 through 8 and makesforecasts for Quarters 9 through 12.

alpha= 0.20beta= 0.30gamma= 0.00

t Dt St Tt It Ft Dt-Ft ABS0 40.00 10.001 40.00 48.00 9.40 1.00 50.00 -10.00 10.002 70.00 59.92 10.16 1.00 57.40 12.60 12.603 60.00 68.06 9.55 1.00 70.08 -10.08 10.084 88.00 79.69 10.17 1.00 77.61 10.39 10.395 70.00 85.89 8.98 1.00 89.86 -19.86 19.866 120.00 99.90 10.49 1.00 94.87 25.13 25.137 100.00 108.31 9.87 1.00 110.39 -10.39 10.398 130.00 120.54 10.58 1.00 118.18 11.82 11.829 1.00 131.12

10 1.00 141.7011 1.00 152.2712 1.00 162.85

1.20 13.78BIAS MAD

Page 45: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

FORECASTING DEMO

-50.00

0.00

50.00

100.00

150.00

1 2 3 4 5 6 7 8

Period

Demand (D)

Forecast (F)

Forecast Error (D-F)

Abs. Forecast Error | D-F |

Page 46: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Seasonal Indexes

seasonal index = actual demand / average demand

divide demand by its seasonal index to deseasonalize and

multiply demand by its seasonal index to seasonalize.

Page 47: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt It Dt'1 8 0.8 102 24 1.2 203 27 0.9 304 44 1.1 405 40 0.8 506 72 1.2 607 63 0.9 708 88 1.1 80

Page 48: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Full Model for Exponential Smoothing NOTE: This model will allow you to

forecast with trend only, with trend and seasonality, with seasonality only, or with no trend and no seasonality.

Page 49: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

Full Model for Exponential Smoothing (cont’d)

SD

IS T

T S S T

ID

SI

F S nT I

tt

tt t

t t t t

t mt

tt

t n t t t n

1

1

1

1 1

1 1

( )

Page 50: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 0.82 1.23 0.94 1.156789101112

Page 51: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 0.8 (40+10).8=402 1.23 0.94 1.156789101112

Page 52: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 0.8 (40+10).8=402 1.23 0.94 1.156789101112

Page 53: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 0.8 (40+10).8=402 1.23 0.94 1.156789101112

Page 54: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 1.23 0.94 1.156789101112

Page 55: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 1.23 0.94 1.15 .4(40/50)+.6(.8)=.806789101112

Page 56: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 1.2 (50+10)1.2=723 0.94 1.15 .4(40/50)+.6(.8)=.806789101112

Page 57: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 70 1.2 (50+10)1.2=723 0.94 1.15 .4(40/50)+.6(.8)=.806789101112

Page 58: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 70 .2(70/1.2)+.8(50+10)=59.67 1.2 (50+10)1.2=723 0.94 1.15 .4(40/50)+.6(.8)=.806789101112

Page 59: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 70 .2(70/1.2)+.8(50+10)=59.67 .3(59.67-50)+.7(10)=9.90 1.2 (50+10)1.2=723 0.94 1.15 .4(40/50)+.6(.8)=.806789101112

Page 60: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 70 .2(70/1.2)+.8(50+10)=59.67 .3(59.67-50)+.7(10)=9.90 1.2 (50+10)1.2=723 0.94 1.15 .4(40/50)+.6(.8)=.806 .4(70/59.67)+.6(1.2)=1.19789101112

Page 61: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 70 .2(70/1.2)+.8(50+10)=59.67 .3(59.67-50)+.7(10)=9.90 1.2 (50+10)1.2=723 0.9 (59.67+9.90)0.9=62.614 1.15 .4(40/50)+.6(.8)=.806 .4(70/59.67)+.6(1.2)=1.19789101112

Page 62: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 70 .2(70/1.2)+.8(50+10)=59.67 .3(59.67-50)+.7(10)=9.90 1.2 (50+10)1.2=723 60 68.99 9.73 0.9 (59.67+9.90)0.9=62.614 88 78.97 9.8 1.1 86.585 70 88.52 9.73 .4(40/50)+.6(.8)=.80 71.026 120 98.78 9.89 .4(70/59.67)+.6(1.2)=1.19 116.847 100 109.46 10.12 0.89 96.488 130 119.18 10 1.11 132.229 0.8 10 1.2 11 0.9 12 1.1

Page 63: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

We would like to forecast for quarters 9-12 (at end of qtr. 8)

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 70 .2(70/1.2)+.8(50+10)=59.67 .3(59.67-50)+.7(10)=9.90 1.2 (50+10)1.2=723 60 68.99 9.73 0.9 (59.67+9.90)0.9=62.614 88 78.97 9.8 1.1 86.585 70 88.52 9.73 .4(40/50)+.6(.8)=.80 71.026 120 98.78 9.89 .4(70/59.67)+.6(1.2)=1.19 116.847 100 109.46 10.12 0.89 96.488 130 119.18 10 1.11 132.229 0.8 10 1.2 11 0.9 12 1.1

Page 64: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 70 .2(70/1.2)+.8(50+10)=59.67 .3(59.67-50)+.7(10)=9.90 1.2 (50+10)1.2=723 60 68.99 9.73 0.9 (59.67+9.90)0.9=62.614 88 78.97 9.8 1.1 86.585 70 88.52 9.73 .4(40/50)+.6(.8)=.80 71.026 120 98.78 9.89 .4(70/59.67)+.6(1.2)=1.19 116.847 100 109.46 10.12 0.89 96.488 130 119.18 10 1.11 132.229 0.8 (119.18+(1)10).8=102.8710 1.2 11 0.9 12 1.1

Page 65: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 70 .2(70/1.2)+.8(50+10)=59.67 .3(59.67-50)+.7(10)=9.90 1.2 (50+10)1.2=723 60 68.99 9.73 0.9 (59.67+9.90)0.9=62.614 88 78.97 9.8 1.1 86.585 70 88.52 9.73 .4(40/50)+.6(.8)=.80 71.026 120 98.78 9.89 .4(70/59.67)+.6(1.2)=1.19 116.847 100 109.46 10.12 0.89 96.488 130 119.18 10 1.11 132.229 0.8 (119.18+(1)10).8=102.8710 1.2 (119.18+(2)10)1.2=166.9511 0.9 12 1.1

Page 66: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 70 .2(70/1.2)+.8(50+10)=59.67 .3(59.67-50)+.7(10)=9.90 1.2 (50+10)1.2=723 60 68.99 9.73 0.9 (59.67+9.90)0.9=62.614 88 78.97 9.8 1.1 86.585 70 88.52 9.73 .4(40/50)+.6(.8)=.80 71.026 120 98.78 9.89 .4(70/59.67)+.6(1.2)=1.19 116.847 100 109.46 10.12 0.89 96.488 130 119.18 10 1.11 132.229 0.8 (119.18+(1)10).8=102.8710 1.2 (119.18+(2)10)1.2=166.9511 0.9 (119.18+(3)10)0.9=134.0012 1.1

Page 67: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft

0 40 101 40 .2(40/.8)+.8(40+10)=50 .3(50-40)+.7(10)=10 0.8 (40+10).8=402 70 .2(70/1.2)+.8(50+10)=59.67 .3(59.67-50)+.7(10)=9.90 1.2 (50+10)1.2=723 60 68.99 9.73 0.9 (59.67+9.90)0.9=62.614 88 78.97 9.8 1.1 86.585 70 88.52 9.73 .4(40/50)+.6(.8)=.80 71.026 120 98.78 9.89 .4(70/59.67)+.6(1.2)=1.19 116.847 100 109.46 10.12 0.89 96.488 130 119.18 10 1.11 132.229 0.8 (119.18+(1)10).8=102.8710 1.2 (119.18+(2)10)1.2=166.9511 0.9 (119.18+(3)10)0.9=134.0012 1.1 (119.18+(4)10)1.1=175.07

Page 68: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

E.S. Homework, Ex. 3

Page 69: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 12 0.73 0.54 1.856789101112

Page 70: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 1 (93+6)x1.00=99.002 0.73 0.54 1.856789101112

Page 71: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 1 (93+6)x1.00=99.002 0.73 0.54 1.856789101112

Page 72: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 .4(101/1.00)+.6(99)=99.80 1 (93+6)x1.00=99.002 0.73 0.54 1.856789101112

Page 73: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 .4(101/1.00)+.6(99)=99.80 .3(99.8-93)+.7(6)=6.24 1 (93+6)x1.00=99.002 0.73 0.54 1.856789101112

Page 74: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 .4(101/1.00)+.6(99)=99.80 .3(99.8-93)+.7(6)=6.24 1 (93+6)x1.00=99.002 0.73 0.54 1.85 .6(101/99.8)+.4(1.00)=1.016789101112

Page 75: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 .4(101/1.00)+.6(99)=99.80 .3(99.8-93)+.7(6)=6.24 1 (93+6)x1.00=99.002 0.7 (99.8+6.24)x0.7=74.233 0.54 1.85 .6(101/99.8)+.4(1.00)=1.016789101112

Page 76: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 .4(101/1.00)+.6(99)=99.80 .3(99.8-93)+.7(6)=6.24 1 (93+6)x1.00=99.002 70 0.7 (99.8+6.24)x0.7=74.233 0.54 1.85 .6(101/99.8)+.4(1.00)=1.016789101112

Page 77: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 .4(101/1.00)+.6(99)=99.80 .3(99.8-93)+.7(6)=6.24 1 (93+6)x1.00=99.002 70 .4(70/0.7)+.6(99.8+6.24)=103.62 0.7 (99.8+6.24)x0.7=74.233 0.54 1.85 .6(101/99.8)+.4(1.00)=1.016789101112

Page 78: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 .4(101/1.00)+.6(99)=99.80 .3(99.8-93)+.7(6)=6.24 1 (93+6)x1.00=99.002 70 .4(70/0.7)+.6(99.8+6.24)=103.62 .3(103.62-99.8)+.7(6.24)=5.51 0.7 (99.8+6.24)x0.7=74.233 0.54 1.85 .6(101/99.8)+.4(1.00)=1.016789101112

Page 79: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 .4(101/1.00)+.6(99)=99.80 .3(99.8-93)+.7(6)=6.24 1 (93+6)x1.00=99.002 70 .4(70/0.7)+.6(99.8+6.24)=103.62 .3(103.62-99.8)+.7(6.24)=5.51 0.7 (99.8+6.24)x0.7=74.233 0.54 1.85 .6(101/99.8)+.4(1.00)=1.016 .6(70/103.62)+.4(0.7)=0.69789101112

Page 80: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 .4(101/1.00)+.6(99)=99.80 .3(99.8-93)+.7(6)=6.24 1 (93+6)x1.00=99.002 70 .4(70/0.7)+.6(99.8+6.24)=103.62 .3(103.62-99.8)+.7(6.24)=5.51 0.7 (99.8+6.24)x0.7=74.233 0.5 (103.62+5.51)x0.5=54.574 1.85 .6(101/99.8)+.4(1.00)=1.016 .6(70/103.62)+.4(0.7)=0.69789101112

Page 81: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 .4(101/1.00)+.6(99)=99.80 .3(99.8-93)+.7(6)=6.24 1 (93+6)x1.00=99.002 70 .4(70/0.7)+.6(99.8+6.24)=103.62 .3(103.62-99.8)+.7(6.24)=5.51 0.7 (99.8+6.24)x0.7=74.233 58 111.88 6.34 0.5 (103.62+5.51)x0.5=54.574 205 116.49 5.82 1.8 212.85 120 120.91 5.4 .6(101/99.8)+.4(1.00)=1.01 123.536 94 130.28 6.59 .6(70/103.62)+.4(0.7)=0.69 87.157 70 137.02 6.64 0.51 69.88 250 142.38 6.26 1.78 255.719 110 0.7111 0.5112 1.77

Page 82: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 .4(101/1.00)+.6(99)=99.80 .3(99.8-93)+.7(6)=6.24 1 (93+6)x1.00=99.002 70 .4(70/0.7)+.6(99.8+6.24)=103.62 .3(103.62-99.8)+.7(6.24)=5.51 0.7 (99.8+6.24)x0.7=74.233 58 111.88 6.34 0.5 (103.62+5.51)x0.5=54.574 205 116.49 5.82 1.8 212.85 120 120.91 5.4 .6(101/99.8)+.4(1.00)=1.01 123.536 94 130.28 6.59 .6(70/103.62)+.4(0.7)=0.69 87.157 70 137.02 6.64 0.51 69.88 250 142.38 6.26 1.78 255.719 1 (142.38+(1)6.26)1.00=148.6410 0.7111 0.5112 1.77

Page 83: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 .4(101/1.00)+.6(99)=99.80 .3(99.8-93)+.7(6)=6.24 1 (93+6)x1.00=99.002 70 .4(70/0.7)+.6(99.8+6.24)=103.62 .3(103.62-99.8)+.7(6.24)=5.51 0.7 (99.8+6.24)x0.7=74.233 58 111.88 6.34 0.5 (103.62+5.51)x0.5=54.574 205 116.49 5.82 1.8 212.85 120 120.91 5.4 .6(101/99.8)+.4(1.00)=1.01 123.536 94 130.28 6.59 .6(70/103.62)+.4(0.7)=0.69 87.157 70 137.02 6.64 0.51 69.88 250 142.38 6.26 1.78 255.719 1 (142.38+(1)6.26)1.00=148.6410 0.71 (142.38+(2)6.26)0.71=109.9811 0.5112 1.77

Page 84: Introduction to Forecasting COB 291 Spring 2000. Forecasting 4 A forecast is an estimate of future demand 4 Forecasts contain error 4 Forecasts can be.

t Dt St Tt It Ft0 93 61 101 .4(101/1.00)+.6(99)=99.80 .3(99.8-93)+.7(6)=6.24 1 (93+6)x1.00=99.002 70 .4(70/0.7)+.6(99.8+6.24)=103.62 .3(103.62-99.8)+.7(6.24)=5.51 0.7 (99.8+6.24)x0.7=74.233 58 111.88 6.34 0.5 (103.62+5.51)x0.5=54.574 205 116.49 5.82 1.8 212.85 120 120.91 5.4 .6(101/99.8)+.4(1.00)=1.01 123.536 94 130.28 6.59 .6(70/103.62)+.4(0.7)=0.69 87.157 70 137.02 6.64 0.51 69.88 250 142.38 6.26 1.78 255.719 1 (142.38+(1)6.26)1.00=148.6410 0.71 (142.38+(2)6.26)0.71=109.9811 0.51 (142.38+(3)6.26)0.51=82.1912 1.77


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