Ch04Ex1

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    Forecasting Moving averages - 3 period moving average

    Data Forecasts and Error Analysis

    Period Demand Forecast Error Absolute Squared

    January 10

    February 12

    March 13

    April 16 11.67 4.33 4.33 18.78

    May 19 13.67 5.33 5.33 28.44

    June 23 16.00 7.00 7.00 49.00

    July 26 19.33 6.67 6.67 44.44

    August 30 22.67 7.33 7.33 53.78

    September 28 26.33 1.67 1.67 2.78

    October 18 28.00 -10.00 10.00 100.00

    November 16 25.33 -9.33 9.33 87.11December 14 20.67 -6.67 6.67 44.44

    Total 6.33 58.33 428.78

    Average 0.70 6.48 47.64

    Bias MAD MSE

    SE 7.83

    Next period 16

    CHAPTER 4: Example 1

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    35

    1 2 3 4 5

    Value

    Foreca

    Demand

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    Abs Pct Err

    27.08%

    28.07%

    30.43%

    25.64%

    24.44%

    05.95%

    55.56%

    58.33%47.62%

    303.13%

    33.68%

    MAPE

    6 7 8 9 10 11 12

    Time

    sting

    Forecast

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    Forecasting Weighted moving averages - 3 period moving average

    Data Forecasts and Error Analysis

    Period Demand Weights Forecast Error Absolute

    January 10 1

    February 12 2

    March 13 3

    April 16 12.17 3.83 3.83

    May 19 14.33 4.67 4.67

    June 23 17.00 6.00 6.00

    July 26 20.50 5.50 5.50

    August 30 23.83 6.17 6.17

    September 28 27.50 0.50 0.50

    October 18 28.33 -10.33 10.33

    November 16 23.33 -7.33 7.33

    December 14 18.67 -4.67 4.67Total 4.33 49.00

    Average 0.48 5.44

    Bias MAD

    SE

    Next period 15.33333333

    CHAPTER 4: Example 2

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    1 2 3

    Value

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    Squared Abs Pct Err

    14.69 23.96%

    21.78 24.56%

    36.00 26.09%

    30.25 21.15%

    38.03 20.56%

    0.25 01.79%

    106.78 57.41%

    53.78 45.83%

    21.78 33.33%323.33 254.68%

    35.93 28.30%

    MSE MAPE

    6.80

    4 5 6 7 8 9 10 11 12

    Time

    Forecasting

    Demand Forecast

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    Forecasting Exponential smoothing

    Alpha 0.1

    Data Forecasts and Error Analysis

    Quarter Demand Forecast Error Absolute Squared Abs Pct Err

    1 180 175 5 5 25 02.78%

    2 168 175.5 -7.5 7.5 56.25 04.46%

    3 159 174.75 -15.75 15.75 248.06 09.91%

    4 175 173.18 1.82 1.82 3.33 01.04%

    5 190 173.36 16.64 16.64 276.97 08.76%

    6 205 175.02 29.98 29.98 898.70 14.62%

    7 180 178.02 1.98 1.98 3.92 01.10%

    8 182 178.22 3.78 3.78 14.31 0.0207823

    Total 35.96 82.46 1526.54 44.75%

    Average 4.49 10.31 190.82 05.59%

    Bias MAD MSE MAPESE 15.95

    Next period 178.5958558

    CHAPTER 4: Example 4 (alpha = 0.1)

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    Value

    Time

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    Demand Forecast

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    Forecasting Exponential smoothing

    Alpha 0.5

    Data Forecasts and Error Analysis

    Quarter Demand Forecast Error Absolute Squared Abs Pct Err

    1 180 175 5 5 25 02.78%

    2 168 177.5 -9.5 9.5 90.25 05.65%

    3 159 172.75 -13.75 13.75 189.06 08.65%

    4 175 165.88 9.13 9.13 83.27 05.21%

    5 190 170.44 19.56 19.56 382.69 10.30%

    6 205 180.22 24.78 24.78 614.11 12.09%

    7 180 192.61 -12.61 12.61 159.00 07.01%

    8 182 186.30 -4.30 4.30 18.53 0.0236521

    Total 18.30 98.63 1561.91 54.05%

    Average 2.29 12.33 195.24 06.76%

    Bias MAD MSE MAPESE 16.13

    Next period 184.1523438

    CHAPTER 4: Example 4 (alpha = 0.5)

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    Value

    Time

    Forecasting

    180 175

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    Forecasting Exponential smoothing

    Alpha 0.1

    Data Forecasts and Error Analysis

    Quarter Demand Forecast Error Absolute Squared Abs Pct Err

    1 180 175 5 5 25 02.78%

    2 168 175.5 -7.5 7.5 56.25 04.46%

    3 159 174.75 -15.75 15.75 248.06 09.91%

    4 175 173.18 1.82 1.82 3.33 01.04%

    5 190 173.36 16.64 16.64 276.97 08.76%

    6 205 175.02 29.98 29.98 898.70 14.62%

    7 180 178.02 1.98 1.98 3.92 01.10%

    8 182 178.22 3.78 3.78 14.31 0.0207823

    Total 35.96 82.46 1526.54 44.75%

    Average 4.49 10.31 190.82 05.59%

    Bias MAD MSE MAPESE 15.95

    Next period 178.5958558

    CHAPTER 4: Example 5 (alpha = 0.1)

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    Value

    Time

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    Demand Forecast

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    Forecasting Exponential smoothing

    Alpha 0.1

    Data Forecasts and Error Analysis

    Quarter Demand Forecast Error Absolute Squared Abs Pct Err

    1 180 175 5 5 25 02.78%

    2 168 175.5 -7.5 7.5 56.25 04.46%

    3 159 174.75 -15.75 15.75 248.06 09.91%

    4 175 173.18 1.82 1.82 3.33 01.04%

    5 190 173.36 16.64 16.64 276.97 08.76%

    6 205 175.02 29.98 29.98 898.70 14.62%

    7 180 178.02 1.98 1.98 3.92 01.10%

    8 182 178.22 3.78 3.78 14.31 0.0207823

    Total 35.96 82.46 1526.54 44.75%

    Average 4.49 10.31 190.82 05.59%

    Bias MAD MSE MAPESE 15.95

    Next period 178.5958558

    CHAPTER 4: Example 6 (alpha = 0.1)

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    Value

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    Demand Forecast

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    Forecasting Trend adjusted exponential smoothing

    Alpha 0.2

    Beta 0.4

    Data Forecasts and Error Analysis

    Period Demand

    Pronstico

    Suavizado,

    Ft

    Tendencia

    Suavizada,

    Tt

    Pronstico

    incluyendo

    Tendencia,

    FITt Error Absolute

    Month 1 12 11 2 13 1 1

    Month 2 17 12.80 1.92 14.72 4.20 4.20

    Month 3 20 15.18 2.10 17.28 4.82 4.82

    Month 4 19 17.82 2.32 20.14 1.18 1.18

    Month 5 24 19.91 2.23 22.14 4.09 4.09

    Month 6 21 22.51 2.38 24.89 -1.51 1.51

    Month 7 31 24.11 2.07 26.18 6.89 6.89Month 8 28 27.14 2.45 29.59 0.86 0.86

    Month 9 36 29.28 2.32 31.60 6.72 6.72

    Next period 32.48 2.68 35.16

    Total 28.24 31.27

    Average 3.14 3.47

    Bias MAD

    SE

    CHAPTER 4: Example 7

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    Squared Abs Pct Err

    1 08.33%

    17.64 24.71%

    23.27 24.12%

    1.39 06.20%

    16.69 17.02%

    2.29 07.21%

    47.43 22.22%0.73 03.06%

    45.21 0.186778056

    155.66 131.54%

    17.30 14.62%

    MSE MAPE

    4.715566015

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    1 2 3 4 5 6

    Value

    Time

    Forecasting

    Demand Forecasts and Error Analysis

    Pronstico incluyen

    (FITt) con a = 0,20 y b

    Demanda Real (At)

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    7 8

    do la tendencia

    b = 0,40