Chapter 3 Flashcards

(29 cards)

1
Q

What is Forecasting?

A

estimating the future demand for products and services and the resources necessary to produce them

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2
Q

Another name for Forecasting?

A

Sales Forecasts

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3
Q

What are Long Range forecasts?

A

span a year or longer, and estimate demand for entire product lines (lawn products)

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4
Q

What are Medium Range forecasts?

A

span several months and group products into product families (lawn mowers)

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5
Q

What are Short Range forecasts?

A

span a few weeks and focus on specific products (lawn mower model)

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6
Q

What is a Demand Estimate?

A

starting point for management teams to develop sales forecasts

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7
Q

What is an Educated Guess?

A

person uses his or her intuition and experience to estimate a forecast

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8
Q

What is an Executive Committee Consensus?

A

knowledgeable executives from various departments within the organization form a a committee to develop a sales forecast

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9
Q

What is the Delphi Method?

A

achieve consensus within a committee

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10
Q

What is Quantitative Forecasting?

A

mathematical models based on historical data

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11
Q

What is a Time Series?

A

set of observed values measured over successive time periods (monthly sales for last 2 years)

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12
Q

Forecast Accuracy

A

how close forecasts come to actual data

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13
Q

Seasonality

A

data pattern that repeats itself after a period of time

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14
Q

Linear Regression Analysis

A

model that establishes a relationship between a dependent variable and one or more independent variables

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15
Q

Trends are:

A

upward or downward sloping line

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16
Q

Cycle

A

data pattern that may cover several years before it repeats itself again

17
Q

Random Fluctuation (Noise)

A

random variation or unexplained causes

18
Q

Simple Linear Regression

A

only one independent variable

19
Q

Coefficient of Correlation

A

relationship between y and x, sign of “r” shows the direction of the relationship and the absolute value of “r” shows the strength

20
Q

Coefficient of Determination

A

how much of the total variation in the dependent variable “y” is explained by “x”

21
Q

Multiple Regression

A

two or more independent variables

22
Q

Standard Deviation

A

measure of how historical data points have been dispersed about the trend line

23
Q

Noise Dampening

A

forecasts that have little period to period fluctuations

24
Q

High Impulse Response

A

forecasts that respond very fast to changes in historical data

25
Low Impulse Response
forecasts reflect few of the changes in historical data
26
Moving Average
average data from few recent periods and this average becomes the forecast for the next period
27
Exponential Smoothing
weights data from recent periods heavier than data from more distant periods
28
Low Cost / Accuracy
statistical models, historical data
29
High Cost / Accuracy
complex models, Delphi, and market research