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A snapshot of the summary  Simulation Modeling and Analysis

1 Basic Simulation Modeling

1.1 The Nature of Simulation
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For what kinds of problems has simulation been found a useful and powerful tool?1. Designing and analyzing manufacturing systems.
2. Analyzing supply chains.
3. DeDesigning and operating transportation systems such as airports, freeways, ports and subways. 
Objections against simulation:1. Models used to study largescale systems tend to be very complex, and writing computer programs to execute them can be an arduous task indeed.
2. A large amount of computer time is sometimes required.
3. There appears to be an unfortunate impressions that simulation is just an exercise in computer programming, albeit a complicated one. 
What's a system in the simulation
the facility process of interest 
1.2 Systems, Models and Simulations
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State of a system:collection of variables necessary to describe a system at a particular time, relative to the objectives of a study.

Ways to study a system:Look at figure.

1.3 DiscreteEvent Simulation
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What are two principal approaches for advancing the simulation clock?1. Nextevent time advance
2. Fixedincrement time advance 
If the main program invokes event routine i, what are the activities that occur?1. The system state is updated to account for the fact that an event of type i has occurred.
2. Information about system performance is gathered by updating the statistical counters.
3. The times of occurrence of future events are generated, and this information is added to the event list. 
1.3.1 TimeAdvance Mevhanism
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Why is it useful to write performance measures in integrals?Computationally, as the simulation progresses, the integrals can easily be accumulated by adding up areas of rectangles.

1.4.1 Problem Statement
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d(n): Expected Average delay in queueAn average over a discrete number of observations > discrete time statistic

Expected utilization proportion of the serverserverbusy function divided by T(n)
= the expeteced proprotion of time during the simulation that the server is busy
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The following topics are covered in this summary

simulation, model, experiments

system, goal, users

simulation, packages, process

animation, simulation, model

simulation, object, different

entity, actions, event

techniques, data, simulated

approach, data, model

distribution, distributions, number

tests, generator, cycle

generating, variates, algorithm

method, distribution, function

system, problem, ci's

ci, problem, n2

level, confidence, intervals

system, systems, selection

variance, correlation, simulating

factors, inputfactor, combination

factor, effect, levels

effect, confounded, twoway

points, design, axial