LectureNote 02 Flashcards

1
Q

What are the main components of a model in modeling and simulation?

A

Inputs, Outputs, Parameters, Assumptions.

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2
Q

What are system state variables?

A

Quantities that describe the current status of a system at a specific point in time and help predict future behavior.

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3
Q

What are some examples of system state variables?

A

Entities & Attributes, Resources, Lists, Delay.

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4
Q

What is the purpose of state variables in a system?

A

To provide a comprehensive description of the system’s condition, develop mathematical models, and facilitate simulation.

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5
Q

How are state variables classified?

A

Descriptive Nature, Independent Variables, Memory of the System.

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6
Q

What is a discrete-event simulation model?

A

A model where state variable values change only at discrete points in time when events occur.

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7
Q

What is a stochastic simulation?

A

A simulation that incorporates randomness and probability distributions, such as Monte Carlo simulations.

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8
Q

What is a deterministic simulation?

A

A simulation where inputs are known and result in a unique set of outputs, such as financial models.

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9
Q

What is the difference between static and dynamic simulation models?

A

Static models do not depend on time, while dynamic models show how things evolve over time.

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10
Q

What is the difference between discrete and continuous systems?

A

Discrete systems change state at specific points in time, whereas continuous systems change state continuously over time.

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11
Q

What are key features of discrete-event simulation?

A

Entities, Relationships, Simulation Executive, Random Number Generator, Results & Statistics.

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12
Q

How is time represented in a simulation model?

A

Using Time Slicing (fixed intervals) or Next Event scheduling (advancing to the next event).

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13
Q

What are examples of discrete data?

A

Number of books in a library, football match goals, household size, and gender.

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14
Q

What are characteristics of discrete data?

A

Countable, fixed intervals, finite or infinite sets, best visualized using bar graphs or pie charts.

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15
Q

What are examples of continuous data?

A

Time taken to complete a task, weight of an object, temperature in a room.

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16
Q

What are characteristics of continuous data?

A

Measurable, infinitely divisible, spans a range of values, best represented using line graphs or histograms.

17
Q

What are everyday examples of modeling in nature?

A

Planes modeled after birds, trains after snakes, ships after fish, and AI after human brains.

18
Q

What are some basic tools used for modeling?

A

Conceptual tools like block diagrams, flowcharts, state diagrams, ER diagrams, and mathematical equations.

19
Q

What are some mathematical and statistical tools used in modeling?

A

Linear Programming, Probability and Statistics, Numerical Methods, Matrix Operations.

20
Q

What are some hardware tools used in simulation?

A

Computers, input devices (keyboards, sensors), output devices (monitors, printers).

21
Q

What are some software tools used in simulation?

A

Python, MATLAB, C++, Java, SIMUL8, Arena, AnyLogic, Excel, CAD software, game engines.

22
Q

What are specialized tools for modeling in engineering?

A

ANSYS, MATLAB/Simulink, SolidWorks Simulation.

23
Q

What are specialized tools for healthcare simulation?

A

BioGears, AnyLogic Healthcare Library, COPASI.

24
Q

What are specialized tools for transportation modeling?

A

PTV Vissim, Arena, Simio.

25
Q

What are specialized tools for financial and economic modeling?

A

RiskSolver, MATLAB Financial Toolbox, Simul8 Business Edition.