Chapter 3 Flashcards
(29 cards)
What is Forecasting?
estimating the future demand for products and services and the resources necessary to produce them
Another name for Forecasting?
Sales Forecasts
What are Long Range forecasts?
span a year or longer, and estimate demand for entire product lines (lawn products)
What are Medium Range forecasts?
span several months and group products into product families (lawn mowers)
What are Short Range forecasts?
span a few weeks and focus on specific products (lawn mower model)
What is a Demand Estimate?
starting point for management teams to develop sales forecasts
What is an Educated Guess?
person uses his or her intuition and experience to estimate a forecast
What is an Executive Committee Consensus?
knowledgeable executives from various departments within the organization form a a committee to develop a sales forecast
What is the Delphi Method?
achieve consensus within a committee
What is Quantitative Forecasting?
mathematical models based on historical data
What is a Time Series?
set of observed values measured over successive time periods (monthly sales for last 2 years)
Forecast Accuracy
how close forecasts come to actual data
Seasonality
data pattern that repeats itself after a period of time
Linear Regression Analysis
model that establishes a relationship between a dependent variable and one or more independent variables
Trends are:
upward or downward sloping line
Cycle
data pattern that may cover several years before it repeats itself again
Random Fluctuation (Noise)
random variation or unexplained causes
Simple Linear Regression
only one independent variable
Coefficient of Correlation
relationship between y and x, sign of “r” shows the direction of the relationship and the absolute value of “r” shows the strength
Coefficient of Determination
how much of the total variation in the dependent variable “y” is explained by “x”
Multiple Regression
two or more independent variables
Standard Deviation
measure of how historical data points have been dispersed about the trend line
Noise Dampening
forecasts that have little period to period fluctuations
High Impulse Response
forecasts that respond very fast to changes in historical data