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Simulation N Modeling

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Simulation N Modeling
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System Modeling And Simulation Notes ­—­—­—­—­—­—­ ­ Presented By

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CHAPTER – 1

INTRODUCTION TO SIMULATION

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Simulation A Simulation is the imitation of the operation of a real-world process or system over time. Brief Explanation • The behavior of a system as it evolves over time is studied by developing a simulation model. • This model takes the form of a set of assumptions concerning the operation of the system. The assumptions are expressed in o Mathematical relationships o Logical relationships o Symbolic relationships Between the entities of the system. Measures of performance The model solved by mathematical methods such as differential calculus, probability theory, algebraic methods has the solution usually consists of one or more numerical parameters which are called measures of performance. 1.1 When Simulation is the Appropriate Tool • Simulation enables the study of and experimentation with the internal interactions of a complex system, or of a subsystem within a complex system. • Informational, organizational and environmental changes can be simulated and the effect of those alternations on the model’s behavior can be observer. • The knowledge gained in designing a simulation model can be of great value toward suggesting improvement in the system under investigation.

• Simulation can be used as a pedagogical device to reinforce analytic solution methodologies.

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• By changing simulation inputs and observing the resulting outputs, valuable insight may be obtained into which variables are most important and how variables interact.

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• Simulation can be used to experiment with new designs or policies prior to implementation, so as to prepare for what may happen. • Simulation can be used to verify analytic solutions. • By simulating different capabilities for a machine,

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