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MECH 3550 : Simulation & Visualization
Go Through the Syllabus, Introduce myself
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Basic Simulation Modeling
The Nature of Simulation The act of using computers to simulate the operations of various real-world processes Analytical Solution
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Systems, Models, and Simulation
A system is defined as a collection of entities that act and interact together to accomplish a logical goal. There are two types of systems: Discrete: Variables change instantaneously at separated points in time. Continuous: Variables change continuously with respect to time. Examples Discrete-Bank Continuous-???
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Static vs Dynamic Simulation
Static Simulation: Not dependent on time. Dynamic Time Dependent Simulation
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Deterministic vs Stochastic
Contains no random components Stochastic Contains random aspects of input and output as well
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Continuous vs Discrete
Modeling of a system where state variable change continuously over time. Discrete Modeling of a system at individual points in time.
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Discrete Event Simulation
Dynamic Stochastic We will mainly be discussing these
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Flow Chart for Arrival Routine, Queueing Model
Arrival Event Schedule the next arrival event Is the server busy? Yes No Set delay=0 for this customer and gather statistics Add 1 to the Queue Yes Is the queue full? Write error message and stop simulation Add 1 to the number of customers delayed No Make the server busy. Return Store time of arrival of this customer Schedule a departure event for this customer
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Flow Chart for Departure routine, queuing model
Departure Event Is the queue empty? Yes No Subtract 1 from he number in queue Make the server idle Compute delay of customer entering service and gather statistics Add 1 to the number of customers delayed Schedule a departure event for this customer Eliminate departure events from consideration Return Move each customer in queue (if any) up one place.
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