CHAPTER 4 : FORECASTING DEMAND
WHAT IS FORECASTING????
- used by companies to determine how to allocate their budgets for an upcoming period of time. we also can say it like an organization predicting a future event.
- it is effect decision and activities throughout an organization such as accounting, finance, human resources, marketing, and product or service design.
- This is use of forecast :
1) Accounting - it will predict about cost and profit estimate.
2) finance - it will predict cash flow and funding.
3) Human resources - it will forecast about hiring, recruiting and
training.
4) Product and services design -predict new products and services.
- an organization will use three major type of forecasts in planning future operations :
1) Economic Forecasts = it is planning indicators that are valuable
in helping organizations prepare medium
long-range forecasts.for example address
business cycle such as inflation rate,
money supply, housing starts and etc.
2) Technological Forecasts = it is predict rate of
technological progress.
another one is impacts
development of new products.
3) Demand Forecast = projection of company sales for
each time period in the planning
horizon. It is like we predict sales of
existing products.
- ELEMENT OF GOOD FORECAST.
1) Timely
2) Reliable
3) Accurate
4) Meaningful
5) Easy to use
- SEVEN STEPS IN FORECASTING SYSTEM.1) Determine the use of the forecast.2) Select item to be forecasted.3) Determine the time horizon of the forecast.4) Select the forecasting model(s).5) Gather the data needed to make the forecast.6) Make the forecast.7) Validate and implement the result.
- Forecasting approaches are divided by two which is Qualitative approaches and Quantitative approaches.
QUALITATIVE APPROACHES
-Used when situation is vague and little data exist like new product and new technology.
-it is also involved intuition and experienced such as forecasting sales on internet.
- there are four different qualitative forecasting techniques :
1) Jury of executive opinion.
2) Delphi Method.
3) Sales force composite.
4) Consumer market survey.
QUANTITATIVE APPROACHES
-Used when situation is 'stable' and historical data exist like existing product and current technology.
-Involves mathematical technique for an example forecasting sales of color televisions.
-there are two types of quantitative approaches model. :
- Times series model
1) Naive approaches
2) Moving average.
3) Exponential smoothing.
4) Trend Projection.
- Associative model
5) Linear Regression
MOVING AVERAGE METHOD
-Is a series or arithmetic means.
-uses if little or no trend.
-used often for smoothing that provide overall impression of data over time.
-This is the way of calculation :
Moving average = ∑ demand in previous n periods
n
Moving Average Example
Actual 3-Month
Month Shed Sales Moving Average
January 10
February 12
March 13
April 16 (10+12+13)/3 = 11 2/3
May 19 (12+13+16)/3 = 13 2/3
June 23 (13+16+19)/3 = 16
July 26 (16+19+23)/3 = 19 1/3
WEIGHTED MOVING AVERAGE
- Used when tense is present
-weight based on experienced or intuition.
weighted Moving average = ∑ (weight for period n) x (demand in period n)
∑ weights
Weighted moving average example
Actual 3-Month Weighted
Month Shed Sales Moving
Average
January 10
February 12
Marc 13
April 16 [(3 x 13) + (2 x 12) + (10)]/6
= 121/6
May 19
[(3 x 16) + (2 x 13) +
(12)]/6 = 141/3
June 23 [(3 x 19) + (2 x 16) +
(13)]/6 = 17
July 26
[(3 x 23) + (2 x 19) + (16)]/6 = 201/2
COMMON MEASURE OF ERROR
Mean Absolute Deviation (MAD)
MAD = ∑ | actual - forecast |
n
Mean Squared Error (MSE)
MSE = ∑ (forecast error) 2
n-1