Forecasting. Planning Forecast Customer Production Process Finished Goods Inputs.

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Transcript of Forecasting. Planning Forecast Customer Production Process Finished Goods Inputs.

Page 1: Forecasting. Planning Forecast Customer Production Process Finished Goods Inputs.

ForecastingForecasting

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Planning Forecast

Customer

ProductionProcess

FinishedGoods

Inputs

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Forecasting

Marketing: forecasts sales for new and

existing products.

Production: uses sales forecasts to plan

production and operations; sometimes

involved in generating sales forecasts.

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Characteristics of Forecasts

They are usually wrong A good forecast is usually more than a single

number Aggregate forecast are more accurate The longer the forecasting horizon, the less

accurate the forecasts will be Forecasts should not be used to the exclusion

of known information

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Forecasting Horizon

Short term(inventory management, production plans..)

Intermediate term(sales patterns for product families..)

Long term(long term planning of capacity needs)

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Forecasting Techniques

JudgmentalModels

Time SeriesMethods Causal Methods

ForecastingTechnique

DelphiMethod

MovingAverage

ExponentialSmoothing

RegressionAnalysis

SeasonalityModels

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Types of forecasting Methods

Subjective methodsFREE HAND METHOD

Objective methodsSEMI AVERAGE

EVEN DATA ODD DATA

LEAST SQUARETREND MOMENT

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FREE HAND METHOD

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SEMI AVERAGEEVEN DATA

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Y = a + bX

No. Year

Sales (Y-axis) Base time

(X-axis)

1 1988 1850 0 ∑ 1-6 = 11520

2 1989 1800 1 Y1 1920

3 1990 1900 2 X1 2.5

4 1991 2000 3

5 1992 1950 4

6 1993 2020 5 a= 3514.81 and b= 291.72

7 1994 1980 6 ∑ 7-12 = 11979

8 1995 1960 7 Y2 1996.5

9 1996 2000 8 X2 8.5

10 1997 2200 9

11 1998 2240 10

12 1999 2220 11

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SEMI AVERAGEODD DATA

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No. Year

Sales (Y-axis) Base time

(X-axis)

1 1988 1850 0 ∑ 1-5 = 9500

2 1989 1800 1 Y1 1900

3 1990 1900 2 X1 2

4 1991 2000 3

5 1992 1950 4

6 1993 2020 5 a= 1868 and b= 16

7 1994 1980 6 ∑ 7-11 = 9980

8 1995 1960 7 Y2 1996

9 1996 2000 8 X2 8

10 1997 2200 9

11 1998 2240 10

Y = a + bX

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TREND MOMENT METHOD

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LEAST SQUARE METHOD

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EVEN DATA CASE