Exam 10: Business Analytics With Simulation

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Simulation studies are normally limited to systems that encompass isolated business units.

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When one or more input variables are random, then the output variables are also random.

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The conceptual model of the simulation model involves:

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A simulation model is valid when it represents:

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Which of the following functions must be performed in stochastic data input?

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In a simulation model, input variables are called dependent variables.

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Big Data offers opportunities when applied to simulation models, mostly due to the dimension(s) of:

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Which of the following is true about a static simulation model?

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A simulation model is discrete when the state of the variables:

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Simulation methodology can be used as a prescriptive analytics tool.

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If the structure of the systems to be modeled is complex, then the modeler should avoid using simulation methodology as a prescriptive analytics tool.

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Which of the following explains why simulation is a preferred prescriptive analytics tool when investigating the behavior of complex systems?

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Which of the following is not an advantage of simulation methodology as compared to mathematical programming techniques?

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In a simulation run, the warm-up period is used to:

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The scope of the study is defined by the time required to complete the simulation study and the organizational unit included in the study.

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Dynamic models have an embedded simulation clock and mimic the behavior of the system from a given start time to a given end time.

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Simulation methodology can be used to test business scenarios without significant process disruptions. These scenarios include:

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Which of the following is true about a dynamic simulation model?

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The state variables of a restaurant change when a customer arrives, when an order is taken, and when the food is served. As such, the restaurant can be represented with a continuous simulation model.

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Which of the following is not a step in the simulation methodology?

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