Question 1

Simulation is the appearance of reality. Simulation is a ________ rather than a normative method.

Accepted Answer

descriptive

Question 2

Which approach is most suited to complex problems with significant uncertainty, a need for experimentation, and time compression?

Accepted Answer

A)  simulation 
B)  genetic algorithms 
C)  optimization 
D)  human intuition 
A)  simulation 
B)  genetic algorithms 
C)  optimization 
D)  human intuition A

Question 3

A "what-if" model is most typically used for the most structured problems.

Accepted Answer

A) True 
 B)False  False

Question 4

Under what circumstances is simulation normally used?

Accepted Answer

Simulation is normally used on

Question 5

Give a brief definition of genetic algorithms.

Accepted Answer

Genetic algorithms are sets of

Question 6

In the Chilean government case study, the government used complete enumeration to find the optimal solution for deciding meal providers to schools.

Accepted Answer

A) True 
 B)False

Question 7

Analytical techniques for problem solving are best for unstructured rather than structured problems.

Accepted Answer

A) True 
 B)False

Question 8

In the RFID case study, the key variable tested by the simulation model was quicker availability of information about the location of various parts in the supply chain.

Accepted Answer

A) True 
 B)False

Question 9

In which stage of the simulation methodology do you determine how long to run the simulation?

Accepted Answer

A)  defining the problem 
B)  designing the experiment 
C)  testing and validating the model 
D)  constructing the simulation model 
A)  defining the problem 
B)  designing the experiment 
C)  testing and validating the model 
D)  constructing the simulation model

Question 10

How does blind search differ from optimization?

Accepted Answer

A)  Blind search cannot result in optimal solutions whereas optimization methods do. 
B)  Blind search usually does not conclude in one step like some optimization methods. 
C)  Blind search is usually a more efficient problem solving approach than optimization. 
D)  Blind search represents a guided approach while optimization is unguided. 
A)  Blind search cannot result in optimal solutions whereas optimization methods do. 
B)  Blind search usually does not conclude in one step like some optimization methods. 
C)  Blind search is usually a more efficient problem solving approach than optimization. 
D)  Blind search represents a guided approach while optimization is unguided.

Question 11

Time compression in a simulation allows managers to test certain strategies with less risk.

Accepted Answer

A) True 
 B)False

Question 12

________ simulation refers to building a model of a system where the interaction between different entities is studied.

Accepted Answer

The answer of ________ simulation refers to building a model...

Question 13

________ models are macro-level simulation models in which aggregate values and trends are considered.

Accepted Answer

The answer of ________ models are macro-level simulation models in...

Question 14

In steady-state plant control design, time-independent simulation would be appropriate.

Accepted Answer

A) True 
 B)False

Question 15

The EHR (electronic health record) system dynamics modeling example showed that

Accepted Answer

A)  e-notes negatively affect radiology performance. 
B)  increased electronic note-taking negatively affects compliance. 
C)  adverse drug events help to decrease patient time. 
D)  increased staff training results in increased electronic prescriptions. 
A)  e-notes negatively affect radiology performance. 
B)  increased electronic note-taking negatively affects compliance. 
C)  adverse drug events help to decrease patient time. 
D)  increased staff training results in increased electronic prescriptions.

Question 16

In ________ simulation, one or more of the independent variables follows certain probability distributions, which can be either discrete distributions or continuous distributions.

Accepted Answer

The answer of In ________ simulation, one or more of...

Question 17

The most common simulation method for business decision problems is ________ simulation.

Accepted Answer

The answer of The most common simulation method for business...

Question 18

List four key terms related to genetic algorithms.

Accepted Answer

•Reproduct

Question 19

In MSS, ________ is a technique for conducting experiments (e.g., what-if analyses) with a computer on a model of a management system.

Accepted Answer

The answer of In MSS, ________ is a technique for...

Question 20

________ are a part of global search techniques used to find approximate solutions to optimization-type problems that are too complex to be solved with traditional optimization methods.

Accepted Answer

The answer of ________ are a part of global search...

Simulation is the appearance of reality. Simulation is a ________ rather than a normative method.

Which approach is most suited to complex problems with significant uncertainty, a need for experimentation, and time compression?

A "what-if" model is most typically used for the most structured problems.

Under what circumstances is simulation normally used?

Give a brief definition of genetic algorithms.

In the Chilean government case study, the government used complete enumeration to find the optimal solution for deciding meal providers to schools.

Analytical techniques for problem solving are best for unstructured rather than structured problems.

In the RFID case study, the key variable tested by the simulation model was quicker availability of information about the location of various parts in the supply chain.

In which stage of the simulation methodology do you determine how long to run the simulation?

How does blind search differ from optimization?

Time compression in a simulation allows managers to test certain strategies with less risk.

________ simulation refers to building a model of a system where the interaction between different entities is studied.

________ models are macro-level simulation models in which aggregate values and trends are considered.

In steady-state plant control design, time-independent simulation would be appropriate.

The EHR (electronic health record) system dynamics modeling example showed that

In ________ simulation, one or more of the independent variables follows certain probability distributions, which can be either discrete distributions or continuous distributions.

The most common simulation method for business decision problems is ________ simulation.

List four key terms related to genetic algorithms.

In MSS, ________ is a technique for conducting experiments (e.g., what-if analyses) with a computer on a model of a management system.

________ are a part of global search techniques used to find approximate solutions to optimization-type problems that are too complex to be solved with traditional optimization methods.

An Overview of Business Intelligence, Analytics, and Decision Support

Foundations and Technologies for Decision Making

Data Warehousing

Business Reporting, Visual Analytics, and Business Performance Management

Data Mining

Techniques for Predictive Modeling

Text Analytics, Text Mining, and Sentiment Analysis

Web Analytics, Web Mining, and Social Analytics

Model-Based Decision Making: Optimization and Multi-Criteria Systems

Automated Decision Systems and Expert Systems

Knowledge Management and Collaborative Systems

Big Data and Analytics

Business Analytics: Emerging Trends and Future Impacts

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Exam 10: Modeling and Analysis: Heuristic Search Methods and Simulation

Simulation is the appearance of reality. Simulation is a ________ rather than a normative method.

Which approach is most suited to complex problems with significant uncertainty, a need for experimentation, and time compression?

A "what-if" model is most typically used for the most structured problems.

Under what circumstances is simulation normally used?

Give a brief definition of genetic algorithms.

In the Chilean government case study, the government used complete enumeration to find the optimal solution for deciding meal providers to schools.

Analytical techniques for problem solving are best for unstructured rather than structured problems.

In the RFID case study, the key variable tested by the simulation model was quicker availability of information about the location of various parts in the supply chain.

In which stage of the simulation methodology do you determine how long to run the simulation?

How does blind search differ from optimization?

Time compression in a simulation allows managers to test certain strategies with less risk.

________ simulation refers to building a model of a system where the interaction between different entities is studied.

________ models are macro-level simulation models in which aggregate values and trends are considered.

In steady-state plant control design, time-independent simulation would be appropriate.

The EHR (electronic health record) system dynamics modeling example showed that

In ________ simulation, one or more of the independent variables follows certain probability distributions, which can be either discrete distributions or continuous distributions.

The most common simulation method for business decision problems is ________ simulation.

List four key terms related to genetic algorithms.

In MSS, ________ is a technique for conducting experiments (e.g., what-if analyses) with a computer on a model of a management system.

________ are a part of global search techniques used to find approximate solutions to optimization-type problems that are too complex to be solved with traditional optimization methods.

An Overview of Business Intelligence, Analytics, and Decision Support

Foundations and Technologies for Decision Making

Data Warehousing

Business Reporting, Visual Analytics, and Business Performance Management

Data Mining

Techniques for Predictive Modeling

Text Analytics, Text Mining, and Sentiment Analysis

Web Analytics, Web Mining, and Social Analytics

Model-Based Decision Making: Optimization and Multi-Criteria Systems

Automated Decision Systems and Expert Systems

Knowledge Management and Collaborative Systems

Big Data and Analytics

Business Analytics: Emerging Trends and Future Impacts

Filters