Exam 12: Simulation
Exam 1: Introduction36 Questions
Exam 2: An Introduction to Linear Programming46 Questions
Exam 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution36 Questions
Exam 4: Linear Programming Applications in Marketing, Finance, and Operations Management36 Questions
Exam 5: Advanced Linear Programming Applications30 Questions
Exam 6: Distribution and Network Models55 Questions
Exam 7: Integer Linear Programming41 Questions
Exam 8: Nonlinear Optimization Models44 Questions
Exam 9: Project Scheduling: Pertcpm47 Questions
Exam 10: Inventory Models43 Questions
Exam 11: Waiting Line Models40 Questions
Exam 12: Simulation43 Questions
Exam 13: Decision Analysis36 Questions
Exam 14: Multicriteria Decisions39 Questions
Exam 15: Forecasting38 Questions
Exam 16: Markov Processes31 Questions
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If customer 2 has a service time of 1.6, and if customer 3 has an interarrival time of 1.1 and a service time of 2.3, when will customer 3's service be completed?
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The degree of risk is associated with the probability or magnitude of loss.
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A static simulation model is used in situations where the state of the system affects how the system changes or evolves over time.
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The process of determining that the computer procedure that performs the simulation calculations is logically correct is called
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Greenfields is a mail order seed and plant business. The size of orders is uniformly distributed over the interval from $25 to $80. Use the following random numbers to generate the size of 10 orders.


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A quantity that is difficult to measure with certainty is called a
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Estimates of the financial information for a new product show the following information:
Use the random numbers .51, .97, .58, .22, and .16 to simulate five trials. What is the net profit for each trial?

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A simulation model uses the mathematical expressions and logical relationships of the
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On a visit to an amusement park you pass someone who has just ridden a roller coaster and asks you for directions to the First Aid Station. Realizing that traffic at the First Aid Station would be something to study with simulation, you gather some information. Two EMTs staff the station, and patients wait and go to the first one available. People coming there can be divided into two groups: those who need something minor (e.g. Tylenol, a band-aid) or those who need more help. Assume those in the first group constitute 25% of the patients and take 5 minutes to have their problem solved. Those in the second group need an uncertain amount of time, as given by a probability distribution. Develop a flowchart for this simulation problem.
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Computer-generated random numbers are normally distributed over the interval from 0 to 1.
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Using simulation to perform risk analysis is like playing out many what-if scenarios by randomly generating values for the probabilistic inputs.
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Common features of simulations--generating values from probability distributions, maintaining records, recording data and summarizing results--led to the development of
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The parameters of a simulation model are the controllable inputs.
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Seventy-five percent of calls arriving at a help line can be handled by the person who answers the phone, but the remaining 25% of them will need to be referred to someone else. Assume that every call requires one minute of attention by the person who answers the phone (either to answer the question or to figure out how the referral should be handled). Calls that are referred need an additional amount of time, as given in the table below.
Callers are served on a first come, first served basis, and are put on hold until the line is free. Use the random numbers to simulate what happens to 10 callers. (Use the random numbers in order - from left to right, first row first - as you need them.) What percentage of your callers needs to be referred? Of those who had to be referred, what is the average referral time?



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A discrete-event simulation reviews the status of the system periodically, whether or not an event occurs.
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A simulation model used in situations where the state of the system at one point in time does not affect the state of the system at future points in time is called a
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