Exam 21: Operational Decison-Making Tools: Transportation and Transshipment Models

The ______________ effect is caused in part by distortion in product demand information caused by inaccurate forecasts.

(Multiple Choice)

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Question 21

(Use the following information for the next five problems.) The owner of Koffi, the sole coffee house located in a resort area, wants to develop a forecast based on the relationship between tourism and coffee drinks sold. He has generated the following data over the past 12 months: The data from using Data Analysis on Excel is as follows: -What is the coefficient of determination?

(Multiple Choice)

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Question 22

A ___________ is an up-and-down movement in demand that repeats itself over a period of more than a year.

(Multiple Choice)

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Question 23

Because of ease of use and simplicity, exponential smoothing is preferred over smoothing average.

(True/False)

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Question 24

The sum of the weights in a weighted moving average forecast must

(Multiple Choice)

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Question 25

Given the demand and forecast values shown in the table below, the exponential smoothing forecast for November using α = 0.35 is

(Multiple Choice)

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Question 26

Association rule learning is a data mining technique that

(Multiple Choice)

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Question 27

Forecast bias is measured by the per-period average of the sum of forecast errors.

(True/False)

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Question 28

A linear regression model that relates demand to time is known as a linear trend line.

(True/False)

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Question 29

For the demand values and the January forecast shown in the table below the exponential smoothing forecast for March using α = 0.30 is

(Multiple Choice)

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Question 30

The _______ method uses demand in the first period to forecast demand in the next period.

(Multiple Choice)

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Question 31

Discuss the importance of accurate forecasts in supply chain management.

(Essay)

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Question 32

A forecast where the current period's demand is used as the next period's forecast is known as a

(Multiple Choice)

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Question 33

The smoothing constant, α, in the exponential smoothing forecast

(Multiple Choice)

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Question 34

(Use the following information for the next five problems.) The owner of Koffi, the sole coffee house located in a resort area, wants to develop a forecast based on the relationship between tourism and coffee drinks sold. He has generated the following data over the past 12 months: The data from using Data Analysis on Excel is as follows: -What is the correlation?

(Multiple Choice)

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Question 35

(Use the following information for the next five problems.) The owner of Koffi, the sole coffee house located in a resort area, wants to develop a forecast based on the relationship between tourism and coffee drinks sold. He has generated the following data over the past 12 months: The data from using Data Analysis on Excel is as follows: -What is the approximate intercept, a?

(Multiple Choice)

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Question 36

Short-midrange forecasts tend to use quantitative models that forecast demand based on historical demand.

(True/False)

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Question 37

Multiple regression analysis can be used to relate demand to two or more dependent variables.

(True/False)

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Question 38

Continuous replenishment relies heavily on ____________term forecast.

(Multiple Choice)

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Question 39

A forecasting model has produced the following forecasts: At the end of May the average error would be

(Multiple Choice)

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Question 40

Showing 21 - 40 of 102

The ______________ effect is caused in part by distortion in product demand information caused by inaccurate forecasts.

A ___________ is an up-and-down movement in demand that repeats itself over a period of more than a year.

Because of ease of use and simplicity, exponential smoothing is preferred over smoothing average.

The sum of the weights in a weighted moving average forecast must

Given the demand and forecast values shown in the table below, the exponential smoothing forecast for November using α = 0.35 is

Association rule learning is a data mining technique that

Forecast bias is measured by the per-period average of the sum of forecast errors.

A linear regression model that relates demand to time is known as a linear trend line.

For the demand values and the January forecast shown in the table below the exponential smoothing forecast for March using α = 0.30 is

The _______ method uses demand in the first period to forecast demand in the next period.

Discuss the importance of accurate forecasts in supply chain management.

A forecast where the current period's demand is used as the next period's forecast is known as a

The smoothing constant, α, in the exponential smoothing forecast

Short-midrange forecasts tend to use quantitative models that forecast demand based on historical demand.

Multiple regression analysis can be used to relate demand to two or more dependent variables.

Continuous replenishment relies heavily on ____________term forecast.

A forecasting model has produced the following forecasts: At the end of May the average error would be

Introduction to Operations and Supply Chain Management

Quality Management

Statistical Process Control

Product Design

Service Design

Processes and Technology

Capacity and Facilities Design

Human Resources

Project Management

Supply Chain Management Strategy and Design

Global Supply Chain Procurement and Distribution

Forecasting

Inventory Management

Sales and Operations Planning

Resource Planning

Lean Systems

Operational Decision-Making Tools: Decision Analysis

Operational Decision-Making Tools: Acceptance Sampling

Operational Decision-Making Tools: Facility Location Models

Operational Decision-Making Tools: Work Measurement

Operational Decision-Making Tools: Simulation

Operational Decision-Making Tools: Linear Programming

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