Modeling and Simulation

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171 Terms

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Simulation Modeling and Analysis

The process of creating and experimenting with a computerized mathematical model of a physical system.

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Model

A representation of a real system which helps the analyst predict the effect of changes to the system.

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Modeling

The process of creating a model which represents a system including its properties.

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Simulation

The operation of a model in terms of time or space which helps analyse the performance of a system.

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Discrete System

A system where state changes occur at discrete points in time when events occur.

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Continuous System

A system where the status of some component is continuously changing with respect to time.

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Stochastic System

A system that is affected by randomness, making its output unpredictable.

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Deterministic System

A system that is not affected by randomness, making its output predictable.

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Entity

An object or person that moves through a system and changes its state.

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Queue

The simulation term for a line where entities wait to be processed.

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Resource

A component that processes or serves the entities in a queue.

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System Time

The total amount of time that an entity spends in the system.

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Queue Time

The total amount of time that an entity spends waiting in a queue.

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Utilization

A time-dependent statistic measuring the proportion of time a resource is busy.

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Process

A series of steps and decisions in the way work is completed.

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Event

An instantaneous happening that changes the state of the system.

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FIFO (First-In, First-Out)

A queue priority rule where the first entity to enter the queue is the first to be served.

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Balking

A queue behavior where an entity arrives but leaves before entering the queue.

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Reneging

A queue behavior where an entity enters the queue but leaves before being served.

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Jockeying

A queue behavior where an entity switches between parallel queues.

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Problem Statement

A clear description of an issue, including a vision and method to solve it.

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Work Breakdown Structure (WBS)

A project planning tool involving the successive division of project tasks into subtasks.

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Gantt Chart

A horizontal bar chart used to illustrate the duration and sequence of project tasks.

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Verification

The process of ensuring that the simulation model operates as intended and is free of programming errors.

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Validation

The process of ensuring that the simulation model represents reality at a given confidence level.

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Face Validity

A validation process where domain experts ensure the model, on the surface, represents reality.

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Statistical Validity

A validation process involving a quantitative comparison of the model's output with data from the real system.

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Factor

A controllable variable in an experiment that affects the system's output performance.

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Level

The specific value or setting of a factor in an experimental design.

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Replication

A single complete run of a simulation model from its initial state to its ending state.

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Terminating Simulation

A simulation that starts and ends at a defined state or time.

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Nonterminating Simulation

A steady-state simulation that runs to analyze the long-term behavior of a system.

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Steady State

The condition of a nonterminating system where its behavior has become balanced and representative.

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Autocorrelation

The correlation between successive observations of output performance in a simulation run.

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Executive Summary

A condensed section of a report summarizing project objectives, results, and recommendations for a non

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Model
According to Shannon, this is a representation of an object, a system, or an idea in some form other than that of the entity itself.
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Model
This is similar to but simpler than the system it represents.
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Model
This should be a close approximation to the real system and incorporate most of its salient features.
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Simulation
A technique or set of techniques whereby, the development of models helps one to understand the behavior of a system, real or hypothetical.
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Simulation Model
The behavior of a system that evolves over time is studied by developing a ______.
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Problem Formulation
A step in simulation study that covers the "statement of the problem."
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Set Objectives and Project Plan
A step in simulation study that covers the "allocation of resources (people, cost, time, etc.)"
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Model Conceptualization
A step in simulation study that "requires experience," "begins simple and then add complexity," and "captures the essence of the system."
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Data Collection
A step in simulation study that is "time consuming and must begin early."
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Model Translation
A step in simulation study that is in "computer form."
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Verification
A step in simulation study that asks "does the program represent model and run properly?"
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Validated
A step in simulation study that asks "does the model replicate the system?"
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Experimental Design
A step in simulation study that covers the "times, initializations, etc."
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Production and Analysis
A step in simulation study that covers the "actual runs and analysis of results that determine performance measures."
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Documentation and Reporting
A step in simulation study that covers the "progress reports are important as project continues like history, chronology, changes, etc."
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Implementation
The last and crucial step of simulation study
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Failure to define an achievable goal
One of the Ten Reasons of Failure
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Incomplete mix of essential skills (Project leadership, Modeling, Programming, and Knowledge of modeled system)
One of the Ten Reasons of Failure
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Inadequate level of user participation
One of the Ten Reasons of Failure
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Inappropriate level of detail
One of the Ten Reasons of Failure
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Poor communication
One of the Ten Reasons of Failure
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1960s
Simulation started unknowingly since the ____’s in Lunar Expedition Studies.
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Monte Carlo Simulation
A simulation technique that uses random sampling and statistical modeling to estimate the probability of outcomes in a process that is too complex for analytical solutions.
Jon Von Neumann
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Analog and Digital
Fields of Computing in Post
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Gordon Simulator
A simulation tool presented by IBM to Norden in October 1961, developed by Geoffrey Gordon.
Transaction (Process) Based Orientation
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CSL (Control and Simulation Language)
In England, J. Buxton and J. Laski developed _____.
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SIMULA
An early simulation programming language developed in Norway by O. Dahl and K. Nygaard.
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SOL (Simulation Oriented Language)
A symbolic language for general purpose system simulation developed by Don Knuth and J. McNeley.
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The Art of Simulation
A short book on simulation methodology written by Ken Tocker.
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SLAM (Simulation Language for Alternative Modeling)
In 1979, Alan Pritsker and David Pegden created _____.
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SIMAN (SIMulation ANalysis)
A simulation language developed by Dennis Pegden around 1983, designed to run on a PC and tailored for the PC market.
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CINEMA
An animation package introduced for the SIMAN language around 1985, originally an add
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A simulation is not appropriate/needed...
when it is easier to perform direct experimentation.
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A simulation is not appropriate/needed...
when the cost exceeds savings.
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A simulation is not appropriate/needed...
when the behavior of the system is too complex to define.
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System

A _____ can contain subsystems which themselves are _____.

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System
An object or collection of objects whose properties we want to study.
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System
Defined to be a collection of entities, e.g., people or machines, that act and interact together toward the accomplishment of some logical end.
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Discrete System
A type of system in which the state variables change only at a discrete set of points in time.
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Continuous System
A type of system in which the state variables change continuously over time.
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Engineering Point of View in System Study
"Study a system to understand it in order to build it."
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Natural Science Point of View in System Study
"Satisfy human curiosity, e.g. to understand more about nature."
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Natural and Artificial Systems
Two Classifications of Systems
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Natural Systems
A classification of system that are part of nature or not man
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Artificial Systems
A classification of system that is manufactured by man.
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Observable
An important property of a system that says, "it should be _____."
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Entity
An object of interest in the system (ex. machines in factory)
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Attribute
The property of an entity (ex. speed and capacity)
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Activity
A time period of specified length (ex. welding and stamping)
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State
A collection of variables that describe the system in any time (ex. status of a machine (busy, idle, down, etc.))
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Event
An instantaneous occurrence that might change the state of the system (ex. breakdown)
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Endogenous
Activities and events occurring with the system.
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Exogenous
Activities and events occurring with the environment.
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Inputs
A component of the system which are also variables of the environment that influence the behavior of the system.
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Outputs
A component of the system which are also variables that are determined by the system and may influence the surrounding environment.
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Classification of Models
Conceptual/Physical, Abstract/Mathematical, Simulation, and Heterogeneous Models
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Conceptual/Physical Models
Also known as replica models. It is a physical object that mimics some properties of a real system, to help us answer questions about that system.
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Abstract/Mathematical Models
Also known as abstract models. It considers mathematical notions as an abstraction of the reality it is meant to portray.
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Simulation Models
This classification of model includes computer simulation, actual experiments and model validation.
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Heterogeneous Models
This classification of model is also known as combined models of all class of models.
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Continuous Time Models
Models evolve their variable values continuously over time.
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Discrete Time Models
Models may change their variable values only at discrete points in time.
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Static Models
This is a model that can be defined without involving time, where the word _____ is derived from the Greek word statikos, meaning something that creates equilibrium. They are often used to describe systems in steady
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Dynamic Models
model includes time in the model. The word _____ is derived from the Greek word dynamis meaning force and power, with _____ being the (time
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Resistor
A static system where the voltage is directly proportional to the current, independent of time, whereas a capacitor is a dynamic system where voltage is dependent on the previous time history.