Question 1

Simple ________ forecasts only work well if we can assume that market demands will stay fairly steady over time.

Accepted Answer

The answer of Simple ________ forecasts only work well if...

Question 2

Which of the following uses three types of participants: decision makers, staff personnel, and respondents?

Accepted Answer

A)  jury of executive opinion 
B)  sales force composite 
C)  Delphi method 
D)  associative models 
E)  time series 
A)  jury of executive opinion 
B)  sales force composite 
C)  Delphi method 
D)  associative models 
E)  time series

Question 3

One advantage of exponential smoothing is the limited amount of record keeping involved.

Accepted Answer

A) True 
 B)False

Question 4

Mean squared error and exponential smoothing are two measures of the overall error of a forecasting model.

Accepted Answer

A) True 
 B)False

Question 5

Sophisticated forecasting models are not always better than simple ones.

Accepted Answer

A) True 
 B)False

Question 6

What is the difference between an associative model and a time-series model?

Accepted Answer

A time-series model uses only historical

Question 7

Identify the four components of a time series. Which one of these is rarely forecast? Why is this so?

Accepted Answer

Trend, seasonality, cycles, an

Question 8

Marie Bain is the production manager at a company that manufactures hot water heaters. Marie needs a demand forecast for the next few years to help decide whether to add new production capacity. The company's sales history (in thousands of units) is shown in the table below. Use exponential smoothing with trend adjustment to forecast demand for period 7. The initial forecast for period 1 was 11 units; the initial estimate of trend was 2. The smoothing constants are α = .3 and β = .5.

Accepted Answer

The answer of Marie Bain is the production manager at...

Question 9

Time-series data may exhibit which of the following behaviors?

Accepted Answer

A)  trend 
B)  random variations 
C)  seasonality 
D)  cycles 
E)  They may exhibit all of these. 
A)  trend 
B)  random variations 
C)  seasonality 
D)  cycles 
E)  They may exhibit all of these.

Question 10

An approach to exponential smoothing in which the smoothing constant is automatically changed to keep errors to a minimum is called ________.

Accepted Answer

The answer of An approach to exponential smoothing in which...

Question 11

A coffee chain sells temperature-controlled smart mugs at $150 each. The monthly sales of mugs for the last twelve months were:
   (a) Compute a 3-month moving average demand forecast for each month from June through December. (Round all forecasts to the nearest whole unit.)
(b) Compute a 5-month moving average demand forecast for each month from June through December. (Round all forecasts to the nearest whole unit.)
(c) Calculate the MSE covering June through December for both methods.
(d) Which method is more likely to have a better forecast performance?

Accepted Answer

(a) and (b)
 @#IMG-DLM& (c) 3-Month MA M

Question 12

What does it mean to "decompose" a time series?

Accepted Answer

To decompose a time series mea

Question 13

John's House of Pancakes uses a weighted moving average method to forecast pancake sales. It assigns a weight of 5 to the previous month's demand, 3 to demand two months ago, and 1 to demand three months ago. If sales amounted to 3000 pancakes in May, 2200 pancakes in June, and 1000 pancakes in July, what should be the forecast for August?

Accepted Answer

A)  2400 
B)  2511 
C)  2067 
D)  3767 
E)  1622 
A)  2400 
B)  2511 
C)  2067 
D)  3767 
E)  1622

Question 14

Explain the role of regression models (time series and otherwise) in forecasting. That is, how is trend projection able to forecast? How is regression used for causal forecasting?

Accepted Answer

For trend projection, the independent va

Question 15

The primary purpose of the mean absolute deviation (MAD) in forecasting is to:

Accepted Answer

A)  estimate the trend line. 
B)  eliminate forecast errors. 
C)  measure forecast accuracy. 
D)  seasonally adjust the forecast. 
E)  remove random variations. 
A)  estimate the trend line. 
B)  eliminate forecast errors. 
C)  measure forecast accuracy. 
D)  seasonally adjust the forecast. 
E)  remove random variations.

Question 16

Which of the following techniques uses variables such as price and promotional expenditures, which are related to product demand, to predict demand?

Accepted Answer

A)  associative models 
B)  exponential smoothing 
C)  weighted moving average 
D)  moving average 
E)  trend projection 
A)  associative models 
B)  exponential smoothing 
C)  weighted moving average 
D)  moving average 
E)  trend projection

Question 17

In trend projection, the trend component is the intercept of the regression equation.

Accepted Answer

A) True 
 B)False

Question 18

Linear regression is known as a(n) ________ model because it incorporates variables or factors that might influence the quantity being forecast.

Accepted Answer

associativ

Question 19

List and briefly describe the three major types of forecasts that organizations use in planning future operations.

Accepted Answer

The three types are economic, technologi

Question 20

What are the three realities of forecasting that companies face?

Accepted Answer

First, outside factors that we cannot pr

Simple ________ forecasts only work well if we can assume that market demands will stay fairly steady over time.

Which of the following uses three types of participants: decision makers, staff personnel, and respondents?

One advantage of exponential smoothing is the limited amount of record keeping involved.

Mean squared error and exponential smoothing are two measures of the overall error of a forecasting model.

Sophisticated forecasting models are not always better than simple ones.

What is the difference between an associative model and a time-series model?

Identify the four components of a time series. Which one of these is rarely forecast? Why is this so?

Time-series data may exhibit which of the following behaviors?

An approach to exponential smoothing in which the smoothing constant is automatically changed to keep errors to a minimum is called ________.

What does it mean to "decompose" a time series?

Explain the role of regression models (time series and otherwise) in forecasting. That is, how is trend projection able to forecast? How is regression used for causal forecasting?

The primary purpose of the mean absolute deviation (MAD) in forecasting is to:

Which of the following techniques uses variables such as price and promotional expenditures, which are related to product demand, to predict demand?

In trend projection, the trend component is the intercept of the regression equation.

Linear regression is known as a(n) ________ model because it incorporates variables or factors that might influence the quantity being forecast.

List and briefly describe the three major types of forecasts that organizations use in planning future operations.

What are the three realities of forecasting that companies face?

Operations and Productivity

Operations Strategy in a Global Environment

Project Management

Design of Goods and Services

Managing Quality

Process Strategies

Location Strategies

Human Resources, Job Design, and Work Measurement

Supply Chain Management

Inventory Management

Aggregate Planning and Sop

Material Requirements Planning Mrp and Erp

Short-Term Scheduling

Lean Operations

Maintenance and Reliability

Decision-Making Tools

Linear Programming

Transportation Models

Waiting-Line Models

Learning Curves

Simulation

Applying Analytics to Big Data in Operations Management

Filters

Exam 4: Forecasting

Simple ________ forecasts only work well if we can assume that market demands will stay fairly steady over time.

Which of the following uses three types of participants: decision makers, staff personnel, and respondents?

One advantage of exponential smoothing is the limited amount of record keeping involved.

Mean squared error and exponential smoothing are two measures of the overall error of a forecasting model.

Sophisticated forecasting models are not always better than simple ones.

What is the difference between an associative model and a time-series model?

Identify the four components of a time series. Which one of these is rarely forecast? Why is this so?

Time-series data may exhibit which of the following behaviors?

An approach to exponential smoothing in which the smoothing constant is automatically changed to keep errors to a minimum is called ________.

What does it mean to "decompose" a time series?

Explain the role of regression models (time series and otherwise) in forecasting. That is, how is trend projection able to forecast? How is regression used for causal forecasting?

The primary purpose of the mean absolute deviation (MAD) in forecasting is to:

Which of the following techniques uses variables such as price and promotional expenditures, which are related to product demand, to predict demand?

In trend projection, the trend component is the intercept of the regression equation.

Linear regression is known as a(n) ________ model because it incorporates variables or factors that might influence the quantity being forecast.

List and briefly describe the three major types of forecasts that organizations use in planning future operations.

What are the three realities of forecasting that companies face?

Operations and Productivity

Operations Strategy in a Global Environment

Project Management

Design of Goods and Services

Managing Quality

Process Strategies

Location Strategies

Human Resources, Job Design, and Work Measurement

Supply Chain Management

Inventory Management

Aggregate Planning and Sop

Material Requirements Planning Mrp and Erp

Short-Term Scheduling

Lean Operations

Maintenance and Reliability

Decision-Making Tools

Linear Programming

Transportation Models

Waiting-Line Models

Learning Curves

Simulation

Applying Analytics to Big Data in Operations Management

Filters