Submitted by: Submitted by nura0208
Views: 381
Words: 1164
Pages: 5
Category: Business and Industry
Date Submitted: 09/12/2011 07:49 PM
Forecasting
Why forecast?
Features Common to all Forecasts
* Conditions in the past will continue in the future
* Rarely perfect
* Forecasts for groups tend to be more accurate than forecasts for individuals
* Forecast accuracy declines as time horizon increases
Elements of a Good Forecast
* Timely
* Accurate
* Reliable (should work consistently)
* Forecast expressed in meaningful units
* Communicated in writing
* Simple to understand and use
Steps in Forecasting Process
* Determine purpose of the forecast
* Establish a time horizon
* Select forecasting technique
* Gather and analyze the appropriate data
* Prepare the forecast
* Monitor the forecast
Types of Forecasts
* Qualitative
* Judgment and opinion
* Sales force
* Consumer surveys
* Delphi technique
* Quantitative
* Regression and Correlation (associative)
* Time series
Forecasts Based on Time Series Data
* What is Time Series?
* Components (behavior) of Time Series data
* Trend
* Cycle
* Seasonal
* Irregular
* Random variations
Naïve Methods
Naïve Forecast – uses a single previous value of a time series as the basis of a forecast.
Techniques for Averaging
* What is the purpose of averaging?
* Common Averaging Techniques
* Moving Averages
* Exponential smoothing
Moving Average
Exponential Smoothing
Techniques for Trend
Linear Trend Equation
Curvilinear Trend Equation
Techniques for Seasonality
* What is seasonality?
* What are seasonal relatives or indexes?
* How seasonal indexes are used:
* Deseasonalizing data
* Seasonalizing data
* How indexes are computed (see Example 7 on page 109)
Accuracy and Control of Forecasts
Measures of Accuracy
* Mean Absolute Deviation (MAD)
* Mean Squared Error (MSE)
* Mean...