Exam 22: Simulation
Exam 1: Operations and Productivity138 Questions
Exam 2: Operations Strategy in a Global Environment134 Questions
Exam 3: Project Management131 Questions
Exam 4: Forecasting148 Questions
Exam 5: Design of Goods and Services126 Questions
Exam 6: Managing Quality226 Questions
Exam 7: Process Strategies259 Questions
Exam 8: Location Strategies233 Questions
Exam 9: Human Resources, Job Design, and Work Measurement321 Questions
Exam 10: Supply Chain Management158 Questions
Exam 11: Inventory Management230 Questions
Exam 12: Aggregate Planning and Sop122 Questions
Exam 13: Material Requirements Planning Mrp and Erp133 Questions
Exam 14: Short-Term Scheduling124 Questions
Exam 15: Lean Operations122 Questions
Exam 16: Maintenance and Reliability119 Questions
Exam 17: Decision-Making Tools101 Questions
Exam 18: Linear Programming102 Questions
Exam 19: Transportation Models92 Questions
Exam 20: Waiting-Line Models126 Questions
Exam 21: Learning Curves114 Questions
Exam 22: Simulation78 Questions
Exam 23: Applying Analytics to Big Data in Operations Management61 Questions
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Explain the difference between random numbers and random number intervals.
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(Essay)
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Correct Answer:
Random numbers are a series of digits that have been selected by a totally random process. Random number intervals are numbers used to represent each possible value or outcome in a computer simulation. During simulation, a particular random number is matched against the random number intervals to determine the value for the element being modeled that particular time.
The number of tires sold at a car garage varies randomly between 0 and 4 each hour, with equally probability for each possible outcome. What set of random numbers (on the 01-100 scale) would tire sales of 2 be assigned?
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(Multiple Choice)
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Correct Answer:
C
In most real-world inventory problems, lead time and demand vary in ways that make simulation a necessity because mathematical modeling is extremely difficult.
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Correct Answer:
True
Which of the following are advantages of simulation? I. time compression
II. "what-if?" questions are possible
III. flexibility
IV. repetitive approach
V. input must be user generated
(Multiple Choice)
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By starting random number intervals at 01, not 00, the top of each range is the cumulative probability.
(True/False)
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The effects of operations management policies over many months or years can be obtained by computer simulation in a short time. What is this phenomenon called?
(Multiple Choice)
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________ is the attempt to duplicate the features, appearance, and characteristics of a real system, usually via a computerized model.
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Simulation is the attempt to duplicate the features, appearance, and characteristics of a real system, usually by means of a computerized model.
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Complete the following table in preparation for a Monte Carlo simulation.


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Despite the powerful simulation software available today, good simulation models can take a long time to develop.
(True/False)
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A(n) ________ is the accumulation of individual probabilities of a distribution.
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The ________ method is a simulation technique that uses random elements when chance exists in their behavior.
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The Las Vegas method is a simulation technique that uses random elements when chance exists in their behavior.
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"Time compression" and the ability to pose "what-if?" questions are elements of:
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Simulation is used for several reasons, including which of the following?
(Multiple Choice)
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Explain what is meant by the concept of "time compression" in simulation modeling.
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Complete the following table in preparation for a Monte Carlo simulation. The expected demand is 3.21.


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A warehouse manager needs to simulate the demand placed on a product that does not fit standard models. The concept being measured is "demand during lead time," where both lead time and daily demand are variable. The historical record for this product suggests the following probability distribution. Convert this distribution into random number intervals.


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