Modeling and simulation

Modeling and simulation

Modeling and simulation (M&S) is the use of models (e.g., physical, mathematical, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making.

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enModeling and simulation (M&S) is the use of models (e.g., physical, mathematical, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making.
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enModeling and simulation (M&S) is the use of models (e.g., physical, mathematical, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making. In the computer application of modeling and simulation a computer is used to build a mathematical model which contains key parameters of the physical model. The mathematical model represents the physical model in virtual form, and conditions are applied that set up the experiment of interest. The simulation starts – i.e., the computer calculates the results of those conditions on the mathematical model – and outputs results in a format that is either machine- or human-readable, depending upon the implementation. The use of M&S within engineering is well recognized. Simulation technology belongs to the tool set of engineers of all application domains and has been included in the body of knowledge of engineering management. M&S helps to reduce costs, increase the quality of products and systems, and document and archive lessons learned. Because the results of a simulation are only as good as the underlying model(s), engineers, operators, and analysts must pay particular attention to its construction. To ensure that the results of the simulation are applicable to the real world, the user must understand the assumptions, conceptualizations, and constraints of its implementation. Additionally, models may be updated and improved using results of actual experiments. M&S is a discipline on its own. Its many application domains often lead to the assumption that M&S is a pure application. This is not the case and needs to be recognized by engineering management in the application of M&S. The use of such mathematical models and simulations avoids actual experimentation, which can be costly and time-consuming. Instead, mathematical knowledge and computational power is used to solve real-world problems cheaply and in a time efficient manner. As such, M&S can facilitate understanding a system's behavior without actually testing the system in the real world. For example, to determine which type of spoiler would improve traction the most while designing a race car, a computer simulation of the car could be used to estimate the effect of different spoiler shapes on the coefficient of friction in a turn. Useful insights about different decisions in the design could be gleaned without actually building the car. In addition, simulation can support experimentation that occurs totally in software, or in human-in-the-loop environments where simulation represents systems or generates data needed to meet experiment objectives. Furthermore, simulation can be used to train persons using a virtual environment that would otherwise be difficult or expensive to produce.
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Modeling and simulation
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enModeling and simulation
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webs.purduecal.edu/techgrad/master-of-science-in-modeling-simulation-and-visualization/%7Caccess-date=2014-10-08%7Carchive-url=https:/archive.today/20141008234945/http:/webs.purduecal.edu/techgrad/master-of-science-in-modeling-simulation-and-visualization/%7Carchive-date=2014-10-08%7Curl-status=dead
www.springer.com/series/10128
web.archive.org/web/20110728023727/http:/www.sim-summit.org/BoK07/BoK_SharePoint.htm
cms.unipune.ac.in
academics.columbusstate.edu/catalogs/current/degreesandprograms/degrees_certificates.php%23GRADModSim
www.pdx.edu/sysc/graduate-certificates-in-systems-science
www.modsimworldconference.com/
www.acm-sigsim-mskr.org/
www.wiley.com/WileyCDA/Section/id-815482.html
www.msco.mil/index.html
www.site.uottawa.ca/~oren/MSBOK/MSBOK-index.htm
forbes.house.gov/Biography/mscaucus.htm
www.scs.org
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Arizona State University
Artificial Intelligence
Biophysical Models
Body of knowledge
Category:Military terminology
Category:Simulation
Columbus State University
Community of practice
Computational engineering
Computational science
Computer simulation
Conceptualization
Conceptual model
Cost reduction
Decision making
Decision support system
Defense Technical Information Center
Delft University of Technology
Engineering
Engineering management
File:Modeling in science.PNG
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Glossary of military modeling and simulation
If-then-else
Implementation
Industry Training, Simulation and Education Conference
Logical data model
Mathematical model
Medical simulation
Microscale and macroscale models
Middle East Technical University
Military
Military Acquisition
Military Operations Research Society
Military simulation
Modeling and Simulation Coordination Office
NASA mission
National Science Foundation
National University of Science and Technology, Pakistan
Naval Postgraduate School
Nuclear explosion
Old Dominion University
Operations research
Orbit modeling
Pharmacist
Physical model
Portland State University
Power system simulation
Procurement
Purdue University Calumet
Real-time simulation
Rule-based modeling
Serious game
Simulation
Simulation Interoperability Standards Organization
Society for Modeling and Simulation International
Software Engineering
Supercomputer
Synthetic environment
System
Systems engineering
Systems Engineering
Systems Theory
Test environment
The University of Alabama in Huntsville
Transportation simulation
Tuncer Ören
University of Alabama in Huntsville
University of Central Florida
University of New South Wales
University of Pennsylvania
Virtual training
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4sDRH
m.05zhvz6
Q6888384
Моделирање и симулација
شبیه‌سازی و مدل‌سازی
प्रतिरूपण एवं अनुकार
モデリング&シミュレーション
SeeAlso
Forecasting model
Hurricane Weather Research
Subject
Category:Military terminology
Category:Simulation
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