Simulation of Operational Management MCQs
Simulation of Operational Management MCQs
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1: Cumulative probability distribution is a distribution of probability values that shows that a random variable such as demand has a probability less than or equal to a specified value
A. True
B. False
2: Monte Carlo simulation is a probabilistic simulation technique that involves selecting numbers randomly from a known probability distribution to be used in simulation trials
A. True
B. False
3: The act of duplicating the operation of a real-world process or system over time using physical objects to replace the actual objects is known as
A. Physical simulation
B. Random numbers
C. Simulation
D. Learning curves
4: Random numbers is a sequence of numbers that is uniformly distributed over a defined interval or range
A. Physical simulation
B. Random numbers
C. Simulation
D. Learning curves
5: A method that uses search decision rules to find the appropriate combination of production and workforce levels that will minimize costs is known as
A. Physical simulation
B. Random numbers
C. Simulation
D. Learning curves
6: _____ involves testing alternative courses of action by choosing alternate models, and executing the simulation repeatedly as necessary.
A. Experimentation
B. Modeling
C. Reengineering
D. Simulation
7: Which of the following is not a key step in developing a simulation model?
A. Develop a model
B. Define the problem
C. Formulate the mathematical model
D. Define the solution
8: Simulation enables managers to perform ______ analysis.
A. What-if
B. Optimization
C. Repetitive
D. Random
9: Simulation models do not make restrictive ______ that typically do not hold in real world scenarios.
A. Observations
B. Scenarios
C. Quantities
D. Assumptions
10: Simulation models do not make restrictive ______ that typically do not hold in real world scenarios.
A. Observations
B. Scenarios
C. Quantities
D. Assumptions
11: ______ is the act of duplicating the operation of a real-world process or system over time.
A. Simulation
B. Reengineering
C. Reverse engineering
D. Modeling
12: Developing complex simulation models can be time consuming and ______.
A. Difficult
B. Expensive
C. Complicated
D. Not profitable
13: Developing complex simulation models can be time consuming and ______.
A. Difficult
B. Expensive
C. Complicated
D. Not profitable
14: ______ is a flexible tool and can be quickly adapted as conditions in the problem environment change.
A. Simulation
B. Reengineering
C. Reverse engineering
D. Modeling
15: ______ is a popular step for companies to take when testing processes and solving problems.
A. Simulation
B. Reengineering
C. Reverse engineering
D. Modeling
16: ______ includes the objectives of the simulation study, model assumptions, the input variables, the results, and the implications of the study.
A. Experimentation and analysis
B. Defining the problem
C. Recommendation
D. Documentation
17: The ______ approach uses random numbers to represent key random variables such as demand, lead time, arrival rates, and services times.
A. Reverse engineering
B. Physical simulation
C. Monte Carlo simulation
D. Reengineering
18: ______ is typically achieved through statistical analysis, and is the process of ensuring that the model is a reasonably robust and accurate reflection of the real-world system that is being studied.
A. Validation
B. Physical simulation
C. Experimentation
D. Modifying the model
19: ______ can be used to study the behavior of a system without the expensive alternative of actually building it.
A. Reengineering
B. Simulation
C. Reverse engineering
D. Modeling
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Simulation of Operational Management MCQs
