Modeling and Simulation

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Modeling and Simulation
A Simulation is the imitation of the operation of a real-world process or system over time. It involves the generation of an artificial history of a system and observation of the artificial history to draw inferences concerning the operating characteristics of the real system. Simulation can be used both as an analysis tool for predicting the effect of changes to existing systems and as a design tool to predict performance of new systems under varying sets of circumstances
Advantages of Simulation: 1- Choose correctly. 2- Time compression and expansion 3- Explore possibilities. 4- Diagnose problems. 5- Identify constraints. 6- Develop understanding. 7- Visualize the plan. 8- Prepare
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2. By using simulation to perform bottleneck analysis, you can discover the cause of the delays in work-in-process, information, materials, or other processes. 3. Simulation studies aid in providing understanding about how a system really operates rather than indicating an individual's predictions about how a system will operate 4. By compressing or expanding time simulation allows you to speed up or slow down phenomena so that you can thoroughly investigate them.

Lecture 2:
A system 1. A system is defined as a group of objects that are joined together in some regular interaction or interdependence toward the accomplishment of some purpose Example: Automobile factory - Machines, parts, and workers operate jointly to produce a vehicle Example: Computer network - User, hosts, routers, lines establish a network
2. A system is often affected by changes occurring outside the system. Such changes are said to occur in the system environment.
Component of a System
Entity: an entity is an object of interest in the system.
Attribute: an attribute is a property of an entity.
Activity: an activity represents a time period of specified length.
State: the state of a system is defined to be that collection of variables necessary to describe the
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