Week 6 Flashcards

1
Q

What is a simulation?

A

A simulation develops a model to evaluate a system numerically over some time period of interest to estimate characteristics for the system.

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2
Q

Why use simulation?

A

To understand risks/uncertainties that interact in a complex fashion and to test scenarios without interfering with the actual process.

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3
Q

List advantages of simulation.

A
  • Straightforward and flexible
  • Can analyze large and complex situations
  • Facilitates what-if analysis
  • Does not interfere with the system
  • Can examine interactive effects
  • Time compression is possible
  • Inclusion of scenarios that others may not permit
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4
Q

List disadvantages of simulation.

A
  • Can be very expensive
  • Long, complicated process to develop
  • Do not generate optimal solutions
  • Managers must generate all conditions and constraints
  • Each model is unique and generally not transferable
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5
Q

What are the steps involved in a simulation analysis?

A
  • Recognize uncertainties in the system
  • Create probability distributions for uncertainties
  • Determine alternatives as a decision maker
  • Mimic the process with probability distributions
  • Compare results of different simulation runs
  • Make recommendations based on results
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6
Q

What are the two major categories of simulation?

A
  • Monte Carlo
  • Systems
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7
Q

What is Monte Carlo simulation?

A

A process of generating random values for uncertain inputs in a model and repeating this for many trials to understand the distribution of output results.

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8
Q

What is the Newsvendor example about?

A

It involves deciding how many copies of a newspaper to order to maximize average profit based on demand probability distribution.

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9
Q

What are the estimated total R&D costs for Moore Pharmaceuticals?

A

$700 million

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10
Q

What is the discount rate assumed for computing NPV in the New Product Development example?

A

9%

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11
Q

Fill in the blank: A random continuous variable between 0 and 1 is generated using _______.

A

RAND()

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12
Q

How can random variables for the Normal distribution be generated in Excel?

A

Using the formula X = NORM.INV(RAND(), mean, stdev)

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13
Q

What does PDF stand for in the context of probability distributions?

A

Probability Density Function

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14
Q

True or False: The area under the PDF for a uniform distribution is always one.

A

True

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15
Q

What is the formula for generating a random variable following a triangular distribution?

A

X = a + (b-a)*RAND()

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16
Q

What is the purpose of using Excel add-ins for simulation?

A

They make building the model easier and automatically calculate various statistics.

17
Q

What does CDF stand for?

A

Cumulative Distribution Function

18
Q

List some common distributions used in simulation modeling.

A
  • Uniform
  • Normal
  • Triangular
  • Lognormal
19
Q

What is the formula for generating a random discrete variable between a and b in Excel?

A

=RANDBETWEEN(a,b)

20
Q

What is the significance of the mode in a triangular distribution?

A

The probability of any number close to the mode is higher than those further from the mean.