1-introduction

1-introduction - Notes

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Professor John Lambadaris SYSC4005/5001 Winter 2010 1 Introduction to Discrete Event System Simulations Winter 2010 Slides are based on the texts: -Discrete Event System Simulation, by Banks et al -Discrete Event Simulation: A first Course, by Leemis and Park
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Professor John Lambadaris SYSC4005/5001 Winter 2010 2 • Imitation of the operation of a real-world process or system (a group of objects that jointly interact) over time. • Could be done by hand or on a computer. • Generation of data and artificial history • Observation of the data and history • Inferences What is simulation?
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Professor John Lambadaris SYSC4005/5001 Winter 2010 3 What is simulation? • Entities: (System) objects of interest of the system • Model – Assumptions: mathematical, logical, symbolic relationship of entities – Computer-based for most real systems • Run rather than solved: hard to generalize • Simulation modeling – Predict performances under varying conditions – Predict the impact of changes
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Professor John Lambadaris SYSC4005/5001 Winter 2010 4 When Simulation is Appropriate? Study the internal interactions of a complex (sub)-system. Observe model’s behavior and resulting outputs due to changes on external environment or internal variables. Improve system through model building. Experiment new designs and policies prior to implementation.
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This note was uploaded on 04/16/2010 for the course SCE sysc5001 taught by Professor Lambadaris during the Spring '10 term at Carleton CA.

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1-introduction - Notes

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