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Modeling and simulation

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296:, and more. This foundation is as diverse as that of engineering management and brings elements of art, engineering, and science together in a complex and unique way that requires domain experts to enable appropriate decisions when it comes to application or development of M&S technology in the context of this paper. The diversity and application-oriented nature of this new discipline sometimes result in the challenge, that the supported application domains themselves already have vocabularies in place that are not necessarily aligned between disjunctive domains. A comprehensive and concise representation of concepts, terms, and activities is needed that make up a professional Body of Knowledge for the M&S discipline. Due to the broad variety of contributors, this process is still ongoing." 425:
management professional in systems engineering needs to make sure that the systems design captured in a systems architecture is aligned with the systems development, this task needs to be conducted with the same level of professionalism for the model that has to be implemented as well. As the role of big data and analytics continues to grow, the role of combined simulation of analysis is the realm of yet another professional called a simplest – in order to blend algorithmic and analytic techniques through visualizations available directly to decision makers. A study designed for the Bureau of Labor and Statistics by Lee et al. provides an interesting look at how bootstrap techniques (statistical analysis) were used with simulation to generate population data where there existed none.
136:, 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. 264: 25: 144:
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
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is applied for the procurement, development, and testing of systems. This support can start in early phases and include topics like executable system architectures, and it can support testing by providing a virtual environment in which tests are conducted. This style of work is often accomplished by
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is conducted in support of planning and experimentation. Very often, the search for an optimal solution that shall be implemented is driving these efforts. What-if analyses of alternatives fall into this category as well. This style of work is often accomplished by simulysts - those having skills in
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is understood as the purposeful abstraction of reality, resulting in the formal specification of a conceptualization and underlying assumptions and constraints. M&S is in particular interested in models that are used to support the implementation of an executable version on a computer. The
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Conceptualization and implementation – modeling and simulation – are two activities that are mutually dependent, but can nonetheless be conducted by separate individuals. Management and engineering knowledge and guidelines are needed to ensure that they are well connected. Like an engineering
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Simulations can often be even more realistic than traditional experiments, as they allow the free configuration of the realistic range of environment parameters found in the operational application field of the final product. Examples are supporting deep water operation of the US Navy or the
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More generally, modeling and simulation is a key enabler for systems engineering activities as the system representation in a computer readable (and possibly executable) model enables engineers to reproduce the system (or Systems of System) behavior. A collection of applicative modeling and
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for the final system. If managed correctly, the environment can be migrated from the development and test domain to the training and education domain in follow-on life cycle phases for the systems (including the option to train and optimize a virtual twin of the real system under realistic
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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
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is applied to ongoing business operations. Traditionally, decision support systems provide this functionality. Simulation systems improve their functionality by adding the dynamic element and allow to compute estimates and predictions, including optimization and what-if analyses.
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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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solve real world problems by focusing on solutions using M&S. Often, the solution results from applying a method, but many solutions are very problem domain specific and are derived from problem domain expertise and not from any general M&S theory or
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of military systems. Other application domains, however, are currently catching up. M&S in the fields of medicine, transportation, and other industries is poised to rapidly outstrip DoD's use of M&S in the years ahead, if it hasn't already happened.
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analyses of different alternatives, in particular when the necessary data to initialize the simulation can easily be obtained from operational data. This use of simulation adds decision support simulation systems to the tool box of traditional
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Although the terms "modeling" and "simulation" are often used as synonyms within disciplines applying M&S exclusively as a tool, within the discipline of M&S both are treated as individual and equally important concepts.
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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.
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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
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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
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management must ensure that model and simulation are interconnected and on the current state (which means that normally the model needs to be updated in case the simulation is changed as well).
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that allow representing the dynamics of the system via simulation, allows exploring system behavior in an articulated way which is often either not possible, or too risky in the real world.
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strategy. Specifically, M&S is used to conduct Events and Experiments that influence requirements and training for military systems. As such, M&S is considered an integral part of
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The military and defense domain, in particular within the United States, has been the main M&S champion, in form of funding as well as application of M&S. E.g., M&S in modern
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Modeling and Simulation has only recently become an academic discipline of its own. Formerly, those working in the field usually had a background in engineering.
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Collins, A.J.; S.R. Shefrey; J. Sokolowski; C.D. Turnitsa; E. Weisel (January 2011). "Modeling and Simulation Standards Study: Healthcare Workshop report".
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The M&S BoK Index is a set of pointers providing handles so that subject information content can be denoted, identified, accessed, and manipulated.
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that allows for integration of simulated systems in the early analysis phase via mixed virtual systems with first prototypical components to a virtual
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Models can be composed of different units (models at finer granularity) linked to achieving a specific goal; for this reason they can be also called
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are sometimes used to simulate the detonation of nuclear devices and their effects in order to support better preparedness in the event of a
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is rooted in Theory but looks for applicable solution patterns. The focus is general methods that can be applied in various problem domains.
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is well recognized. Simulation technology belongs to the tool set of engineers of all application domains and has been included in the
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Padilla et al. recommend in "Do we Need M&S Science" to distinguish between M&S Science, Engineering, and Applications.
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to train and educate people. This style of work is often accomplished by trainers working in concert with computer scientists.
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Using simulations is generally cheaper, safer and sometimes more ethical than conducting real-world experiments. For example,
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There are many categorizations possible, but the following taxonomy has been very successfully used in the
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Association for Computing Machinery (ACM) Special Interest Group (SIG) on SImulation and Modeling (SIM)
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both simulation and as analysts. This blending of simulation and analyst is well noted in Kleijnen.
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Department of Scientific Computing, Modeling and Simulation (M.Tech (Modelling & Simulation))
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Modeling and simulation are important in research. Representing the real systems either via
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execution of a model over time is understood as the simulation. While modeling targets the
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contributes to the Theory of M&S, defining the academic foundations of the discipline.
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Publishing House publishes the Simulation Foundations, Methods, and Applications Series
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US Department of Defense (DoD) Modeling and Simulation Coordination Office (M&SCO)
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In the computer application of modeling and simulation a computer is used to build a
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Gianni, Daniele; D'Ambrogio, Andrea; Tolk, Andreas, eds. (December 2, 2014).
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simulation method to support systems engineering activities in provided in.
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Three activities have to be conducted and orchestrated to ensure success:
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a model must be produced that captures formally the conceptualization,
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The following institutions offer degrees in Modeling and Simulation:
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Interservice/Industry Training, Simulation and Education Conference
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provides insufficient context for those unfamiliar with the subject
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Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
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simulating the surface of neighbored planets in preparation of
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SimSummit collaborative environment supporting an M&S BoK
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Modeling and Simulation-Based Systems Engineering Handbook
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constraints even before first components are being built).
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National University of Science and Technology, Pakistan
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to develop data utilized for managerial or technical
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started their own Series on Modeling and Simulation
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Padilla, Jose; S.Y. Diallo; A. Tolk (October 2011).
153:Technically, simulation is well accepted. The 2006 747:Simulation Interoperability Standards Organization 647:and the M&S profession, industry, and market. 753:Society for Modeling and Simulation International 97:, entity, phenomenon, or process) as a basis for 830:"Report on Simulation-Based Engineering Science" 173:Hurricane Weather Research and Forecasting model 1185:US Congressional Modeling and Simulation Caucus 186:Simulations can often be conducted faster than 1111:Master of Science, Purdue University Calumet. 899:"NOAA's SciJinks :: Simulate a Hurricane" 8: 1067:. Bureau of Labor Statistics. Archived from 695:Glossary of military modeling and simulation 722:Modeling and Simulation Coordination Office 665:a simulation must implement this model, and 1065:JSM 2013 - Survey Research Methods Section 641:Modeling and Simulation Body of Knowledge 634:Modeling and Simulation Body of Knowledge 539:(Savitribai Phule Pune University, India) 62:Learn how and when to remove this message 1113:"Modeling, Simulation and Visualization" 1035:(1st ed.). CRC Press. p. 513. 202:Simulations allow setting up a coherent 16:Use of models as a basis for simulations 765: 607:the University of Alabama in Huntsville 513:the University of Alabama in Huntsville 256:reproductions at smaller scale, or via 190:. This allows using them for efficient 1083: 1081: 1056:Lee, Hyunshik J.; et al. (2013). 974: 963: 917:"9 Super-Cool Uses for Supercomputers" 567:Hamburg University of Applied Sciences 574:Professional Science Masters Programs 44:providing more context for the reader 7: 711:Military Operations Research Society 690:Defense Technical Information Center 1175:Society for Modeling and Simulation 458:University of Alabama in Huntsville 14: 927:from the original on 2021-06-07. 905:from the original on 2021-06-07. 887:from the original on 2021-06-07. 865:from the original on 2021-06-07. 842:from the original on 2021-06-07. 706:Microscale and macroscale models 519:Middle East Technical University 89:, mathematical, behavioral, or 23: 1190:Example of an M&S BoK Index 853:George Dvorsky (6 June 2012). 555:Delft University of Technology 370:Training and Education Support 343:, and is currently applied to 1: 994:"Do We Need M&S Science?" 587:Graduate Certificate Programs 580:University of Central Florida 525:University of New South Wales 507:University of Central Florida 464:University of Central Florida 219:organizations is part of the 1003:(4): 161–166. Archived from 811:. 2007-08-08. Archived from 783:. 2009-12-09. Archived from 417:challenges mainly focus on 363:Systems Engineering Support 237:Multi-use simulation models 155:National Science Foundation 1235: 446:University of Pennsylvania 396: 245: 234: 170: 120:The use of M&S within 685:Computational engineering 601:Columbus State University 593:Portland State University 549:Purdue University Calumet 543:Columbus State University 531:Naval Postgraduate School 470:Naval Postgraduate School 366:engineers and architects. 349:transportation simulation 276:As an emerging discipline 267:How modeling extends the 940:VMASC Report, Suffolk VA 557:(Delft, The Netherlands) 495:Arizona State University 197:decision support systems 1170:MODSIM World Conference 737:Power system simulation 620:Old Dominion University 501:Old Dominion University 452:Old Dominion University 294:Artificial Intelligence 271:at the base of research 149:Interest in simulations 75:Modeling and simulation 973:Cite journal requires 614:Undergraduate Programs 272: 130:engineering management 809:Department of Defense 781:Department of Defense 680:Computational science 645:community of practice 491:(Islamabad, Pakistan) 397:Further information: 372:provides simulators, 266: 246:Further information: 242:Simulation in science 235:Further information: 204:synthetic environment 1219:Military terminology 1001:SCS M&S Magazine 883:. 15 November 2013. 316:M&S Applications 290:Software Engineering 248:Scientific modelling 93:representation of a 742:Rule-based modeling 727:Operations research 717:Military simulation 561:University of Genoa 476:University of Genoa 393:Individual concepts 335:Application domains 310:M&S Engineering 286:Systems Engineering 258:mathematical models 229:systems engineering 142:computer simulation 132:. M&S helps to 40:improve the article 569:(Hamburg, Germany) 448:(Philadelphia, PA) 376:environments, and 345:medical simulation 325:modeling solutions 273: 110:mathematical model 923:. 30 April 2010. 818:on July 10, 2007. 790:on July 14, 2007. 628:(Swabi, Pakistan) 429:Academic programs 411:conceptualization 384:A special use of 269:scientific method 167:nuclear explosion 126:body of knowledge 72: 71: 64: 1226: 1127: 1125: 1124: 1115:. Archived from 1104: 1103: 1101: 1100: 1091:. Archived from 1085: 1076: 1075: 1073: 1062: 1053: 1047: 1046: 1026: 1020: 1019: 1017: 1015: 1009: 998: 989: 983: 982: 976: 971: 969: 961: 959: 950: 944: 943: 935: 929: 928: 913: 907: 906: 895: 889: 888: 873: 867: 866: 861:. Gawker Media. 850: 844: 843: 841: 834: 826: 820: 819: 817: 806: 798: 792: 791: 789: 778: 770: 609:(Huntsville, AL) 521:(Ankara, Turkey) 515:(Huntsville, AL) 483:Masters Programs 460:(Huntsville, AL) 399:Conceptual model 386:Analyses Support 374:virtual training 356:Analyses Support 208:test environment 81:) is the use of 67: 60: 56: 53: 47: 27: 26: 19: 1234: 1233: 1229: 1228: 1227: 1225: 1224: 1223: 1204: 1203: 1161: 1134: 1132:Further reading 1122: 1120: 1110: 1107: 1098: 1096: 1087: 1086: 1079: 1071: 1060: 1055: 1054: 1050: 1043: 1028: 1027: 1023: 1013: 1011: 1010:on June 6, 2013 1007: 996: 991: 990: 986: 972: 962: 957: 953:Tolk, Andreas. 952: 951: 947: 937: 936: 932: 921:LiveScience.com 915: 914: 910: 897: 896: 892: 875: 874: 870: 852: 851: 847: 839: 832: 828: 827: 823: 815: 804: 800: 799: 795: 787: 776: 772: 771: 767: 763: 758: 675: 656: 637: 596:Systems Science 431: 401: 395: 337: 304:M&S Science 278: 250: 244: 239: 175: 151: 103:decision making 68: 57: 51: 48: 37: 28: 24: 17: 12: 11: 5: 1232: 1230: 1222: 1221: 1216: 1206: 1205: 1202: 1201: 1196: 1187: 1182: 1177: 1172: 1167: 1160: 1159:External links 1157: 1156: 1155: 1145: 1133: 1130: 1129: 1128: 1106: 1105: 1077: 1074:on 2014-05-04. 1048: 1041: 1021: 984: 975:|journal= 945: 930: 908: 890: 868: 845: 821: 793: 764: 762: 759: 757: 756: 750: 744: 739: 734: 732:Orbit modeling 729: 724: 719: 714: 708: 703: 697: 692: 687: 682: 676: 674: 671: 670: 669: 666: 663: 655: 652: 636: 631: 630: 629: 623: 616: 615: 611: 610: 604: 603:(Columbus, GA) 598: 589: 588: 584: 583: 576: 575: 571: 570: 564: 563:(Genoa, Italy) 558: 552: 546: 545:(Columbus, GA) 540: 534: 533:(Monterey, CA) 528: 522: 516: 510: 504: 498: 492: 485: 484: 480: 479: 478:(Genoa, Italy) 473: 472:(Monterey, CA) 467: 461: 455: 449: 442: 441: 440:Ph D. 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Index

improve the article
providing more context for the reader
Learn how and when to remove this message
models
physical
logical
system
simulations
decision making
mathematical model
simulation
engineering
body of knowledge
engineering management
reduce costs
computer simulation
National Science Foundation
supercomputers
nuclear explosion
Hurricane Weather Research and Forecasting model
NASA missions
real time
if-then-else
decision support systems
synthetic environment
test environment
military
acquisition
procurement
systems engineering

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