Question 1

By starting random number intervals at 01, not 00, the top of each range is the cumulative probability.

Accepted Answer

A) True 
 B)False

Question 2

Simulation allows managers to test the effects of major policy decisions on real-life systems without disturbing the real system.

Accepted Answer

A) True 
 B)False

Question 3

Simulation has numerous applications in modern business, but few of these are in the area of operations.

Accepted Answer

A) True 
 B)False

Question 4

One of the disadvantages of simulation is that it

Accepted Answer

A)  does not allow for very complex problem solutions 
B)  is not very flexible 
C)  is a trial-and-error approach that may produce different solutions in different runs 
D)  is very limited in the type of probability distribution that can be used 
E)  interferes with the production systems while the program is being run 
A)  does not allow for very complex problem solutions 
B)  is not very flexible 
C)  is a trial-and-error approach that may produce different solutions in different runs 
D)  is very limited in the type of probability distribution that can be used 
E)  interferes with the production systems while the program is being run

Question 5

Which of the following restrictions applies to queuing models but not Monte Carlo simulations?

Accepted Answer

A)  Poisson distribution of arrivals 
B)  constant or exponential service times 
C)  average length of line 
D)  A and B 
E)  A, B, and C 
A)  Poisson distribution of arrivals 
B)  constant or exponential service times 
C)  average length of line 
D)  A and B 
E)  A, B, and C

Question 6

Which of the following is not a disadvantage to simulation?

Accepted Answer

A)  Time compression 
B)  Expensive, can take months to develop 
C)  Trial and error approach 
D)  All input must be user generated 
E)  All of these are disadvantages to simulation 
A)  Time compression 
B)  Expensive, can take months to develop 
C)  Trial and error approach 
D)  All input must be user generated 
E)  All of these are disadvantages to simulation

Question 7

One effective use of simulation is to study problems for which the mathematical models of operations management are not realistic enough.

Accepted Answer

A) True 
 B)False

Question 8

Explain the difference between random numbers and random number intervals.

Accepted Answer

Random numbers are a series of digits th

Question 9

A reason for the use of simulation in queuing is that the four standard queuing models do not allow for unusual arrival and service distributions.

Accepted Answer

A) True 
 B)False

Question 10

From a portion of a probability distribution, you read that P(demand = 0) is 0.05 and P(demand = 1) is 0.10. The cumulative probability for demand 1 would be

Accepted Answer

A)  0.05 
B)  0.075 
C)  0.10 
D)  0.15 
E)  cannot be determined 
A)  0.05 
B)  0.075 
C)  0.10 
D)  0.15 
E)  cannot be determined

Question 11

The effects of OM policies over many months or years can be obtained by computer simulation in a short time. This phenomenon is referred to as __________ .

Accepted Answer

The answer of The effects of OM policies over many...

Question 12

Would you simulate a problem for which there is an exact mathematical model already?

Accepted Answer

In terms of getting the problem solved,

Question 13

Virtually all large-scale simulations take place on computers, but small simulations can be conducted by hand.

Accepted Answer

A) True 
 B)False

Question 14

__________ is the attempt to duplicate the features, appearance, and characteristics of a real system, usually by means of a computerized model.

Accepted Answer

The answer of __________ is the attempt to duplicate the...

Question 15

Which of the following is true regarding simulation?

Accepted Answer

A)  If an analytical model can't solve a problem, neither can a simulation. 
B)  Simulation can only be done by computer. 
C)  Monte Carlo simulation requires the use of random numbers. 
D)  Simulation models are inexpensive. 
E)  All of the above are true. 
A)  If an analytical model can't solve a problem, neither can a simulation. 
B)  Simulation can only be done by computer. 
C)  Monte Carlo simulation requires the use of random numbers. 
D)  Simulation models are inexpensive. 
E)  All of the above are true.

Question 16

A waiting-line problem that cannot be modeled by standard distributions has been simulated. The table below shows the result of a Monte Carlo simulation. (Assume that the simulation began at 8:00 a.m. and there is only one server.
   a. What is the average waiting time in line?
b. What is the average time in the system?

Accepted Answer

(a) Waiting time is 0 + 1 + 6

Question 17

Which of the following statements regarding simulation is true?

Accepted Answer

A)  Simulation can be physical or mathematical. 
B)  Simulation has numerous areas of application in operations. 
C)  Simulation attempts to duplicate a real system. 
D)  Monte Carlo simulation is a chance-based mathematical model of a real system. 
E)  All of these are true. 
A)  Simulation can be physical or mathematical. 
B)  Simulation has numerous areas of application in operations. 
C)  Simulation attempts to duplicate a real system. 
D)  Monte Carlo simulation is a chance-based mathematical model of a real system. 
E)  All of these are true.

Question 18

Setting up a probability distribution, building a cumulative probability distribution, and generating random numbers are

Accepted Answer

A)  necessary when the underlying probability distribution is normal 
B)  three of the five steps in Monte Carlo analysis 
C)  elements of physical simulation but not mathematical simulation 
D)  the three steps involved in simulating a queuing problem 
E)  advantages of simulation 
A)  necessary when the underlying probability distribution is normal 
B)  three of the five steps in Monte Carlo analysis 
C)  elements of physical simulation but not mathematical simulation 
D)  the three steps involved in simulating a queuing problem 
E)  advantages of simulation

Question 19

Random number intervals are based on cumulative probability distributions.

Accepted Answer

A) True 
 B)False

Question 20

Simulation provides optimal solutions to problems.

Accepted Answer

A) True 
 B)False

Exam 26: Vehicle Routing and Scheduling

By starting random number intervals at 01, not 00, the top of each range is the cumulative probability.

Simulation allows managers to test the effects of major policy decisions on real-life systems without disturbing the real system.

Simulation has numerous applications in modern business, but few of these are in the area of operations.

One of the disadvantages of simulation is that it

Which of the following restrictions applies to queuing models but not Monte Carlo simulations?

Which of the following is not a disadvantage to simulation?

One effective use of simulation is to study problems for which the mathematical models of operations management are not realistic enough.

Explain the difference between random numbers and random number intervals.

A reason for the use of simulation in queuing is that the four standard queuing models do not allow for unusual arrival and service distributions.

From a portion of a probability distribution, you read that P(demand = 0) is 0.05 and P(demand = 1) is 0.10. The cumulative probability for demand 1 would be

The effects of OM policies over many months or years can be obtained by computer simulation in a short time. This phenomenon is referred to as __________ .

Would you simulate a problem for which there is an exact mathematical model already?

Virtually all large-scale simulations take place on computers, but small simulations can be conducted by hand.

__________ is the attempt to duplicate the features, appearance, and characteristics of a real system, usually by means of a computerized model.

Which of the following is true regarding simulation?

Which of the following statements regarding simulation is true?

Setting up a probability distribution, building a cumulative probability distribution, and generating random numbers are

Random number intervals are based on cumulative probability distributions.

Simulation provides optimal solutions to problems.

Operations and Productivity

Operations Strategy in a Global Environment

Project Management

Forecasting

Design of Goods and Services

Managing Quality

Process Strategy

Location Strategies

Layout Strategies

Human Resources, Job Design, and Work Measurement

Supply-Chain Management

Inventory Management

Aggregate Planning

Material Requirements Planning Mrp and Erp

Short-Term Scheduling

Just-In-Time and Lean Options

Maintenance and Reliability

Statistical Tools for Managers

Acceptance Sampling

The Simplex Method of Linear Programming

The Modi and Vam Methods of Solving Transportation Problems

Vehicle Routing and Scheduling

Managing Quality

Process Strategy

Supply-Chain Management

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