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Simulation is a tool used after an existing system is altered or a new system is built.
False
Simulation can prevent over-utilization of resources.
True
Simulation guarantees an optimal solution.
False
Discrete-event simulation is only event-based.
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Simulation can be applied to designing and analyzing manufacturing systems.
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Simulation is considered a last resort because it guarantees an optimal solution.
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Probabilistic simulation deals with fixed input and output variables.
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Simulation can be used for designing and operating transportation facilities.
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Static simulation does not take time into account.
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Simulation is an optimization technique.
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Modeling and simulation is the process of producing a model.
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A model should be more complex than the system it represents.
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Simulation is the operation of a model of the system.
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One purpose of a model is to enable the analyst to predict the effect of changes to the system.
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Model validation techniques include simulating the model under known input conditions and comparing model output with system output.
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Simulation software is not used in the development of a mathematical model intended for a simulation study.
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Study Notes
Simulation Concepts
- Simulation is a tool used to analyze and optimize systems after alteration or construction.
- Simulation helps prevent over-utilization of resources.
- Discrete-event simulation is an event-based approach.
- Simulation is applied to designing and analyzing manufacturing systems and transportation facilities.
Characteristics of Simulation
- Simulation does not guarantee an optimal solution; it's not a last resort.
- Probabilistic simulation involves fixed input and output variables.
- Static simulation neglects the time factor.
Modeling and Simulation
- Modeling and simulation involves producing a model, which is a simplified representation of the system.
- A model should not be more complex than the system it represents.
- Simulation is the operation of the system model, enabling prediction of changes to the system.
Model Validation
- Model validation techniques include simulating the model under known input conditions and comparing model output with system output.
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Description
Test your knowledge about modeling and simulation with this quiz. Learn about the concepts of modeling, representation, construction, and predicting effects of changes to a system.
