Technically, simulation is well accepted. The 2006 National Science Foundation (NSF) Report on "Simulation-based Engineering Science"3 showed the potential of using simulation technology and methods to revolutionize the engineering science. Among the reasons for the steadily increasing interest in simulation applications are the following:
See also: Hurricane Weather Research and Forecasting model
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 military organizations is part of the acquisition/procurement 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 systems engineering 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.8
Further information: Multi-use simulation models
Further information: Scientific modelling
Modeling and simulation are important in research. Representing the real systems either via physical reproductions at smaller scale, or via mathematical models 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.
"The emerging discipline of M&S is based on developments in diverse computer science areas as well as influenced by developments in Systems Theory, Systems Engineering, Software Engineering, Artificial Intelligence, 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."9
Padilla et al. recommend in "Do we Need M&S Science" to distinguish between M&S Science, Engineering, and Applications.10
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 modeling solutions.
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 simulation method to support systems engineering activities in provided in.11
There are many categorizations possible, but the following taxonomy has been very successfully used in the defense domain, and is currently applied to medical simulation and transportation simulation as well.
A special use of Analyses Support 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.
Further information: Conceptual model
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. Modeling 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 execution of a model over time is understood as the simulation. While modeling targets the conceptualization, simulation challenges mainly focus on implementation, in other words, modeling resides on the abstraction level, whereas simulation resides on the implementation level.
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 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 Statistics12 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.
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.
The following institutions offer degrees in Modeling and Simulation:
The Modeling and Simulation Body of Knowledge (M&S BoK) is the domain of knowledge (information) and capability (competency) that identifies the modeling and simulation community of practice and the M&S profession, industry, and market.13
The M&S BoK Index is a set of pointers providing handles so that subject information content can be denoted, identified, accessed, and manipulated.14
Three activities have to be conducted and orchestrated to ensure success:
"Department of Defense INSTRUCTION NUMBER 5000.61: Modeling and Simulation (M&S) Verification, Validation, and Accreditation" (PDF). Department of Defense. 2009-12-09. Archived from the original (PDF) on July 14, 2007. https://web.archive.org/web/20070714013742/http://www.dtic.mil/whs/directives/corres/pdf/500061p.pdf ↩
"Department of Defense DIRECTIVE NUMBER 5000.59: DoD Modeling and Simulation (M&S) Management" (PDF). Department of Defense. 2007-08-08. Archived from the original (PDF) on July 10, 2007. https://web.archive.org/web/20070710122647/http://www.dtic.mil/whs/directives/corres/pdf/500059p.pdf ↩
"Report on Simulation-Based Engineering Science" (PDF). National Science Foundation (NSF) Blue Ribbon Panel. 2006-05-01. Archived (PDF) from the original on 2021-06-07. https://www.nsf.gov/pubs/reports/sbes_final_report.pdf ↩
George Dvorsky (6 June 2012). "Supercomputer simulates nuclear explosion down to the molecular level". io9. Gawker Media. Archived from the original on 2021-06-07. https://io9.gizmodo.com/5916320/supercomputer-simulates-nuclear-explosion-down-to-the-molecular-level ↩
"Hurricane Force Supercomputing: Petascale Simulations of Sandy". HPCwire. 15 November 2013. Archived from the original on 2021-06-07. http://www.hpcwire.com/2013/11/14/behind-blue-waters-hurricane-sandy-simulation/ ↩
"NOAA's SciJinks :: Simulate a Hurricane". Archived from the original on 2021-06-07. https://scijinks.jpl.nasa.gov/hurricane-simulation/ ↩
"9 Super-Cool Uses for Supercomputers". LiveScience.com. 30 April 2010. Archived from the original on 2021-06-07. http://www.livescience.com/6392-9-super-cool-supercomputers.html ↩
Collins, A.J.; S.R. Shefrey; J. Sokolowski; C.D. Turnitsa; E. Weisel (January 2011). "Modeling and Simulation Standards Study: Healthcare Workshop report". VMASC Report, Suffolk VA. ↩
Tolk, Andreas. "Engineering Management Challenges for Applying Simulation as a Green Technology" (PDF). {{cite journal}}: Cite journal requires |journal= (help) http://ww2.odu.edu/~atolk/research/ASEM.045.pdf ↩
Padilla, Jose; S.Y. Diallo; A. Tolk (October 2011). "Do We Need M&S Science?" (PDF). SCS M&S Magazine (4): 161–166. Archived from the original (PDF) on June 6, 2013. Retrieved July 1, 2012. https://web.archive.org/web/20130606094638/http://www.scs.org/magazines/2011-10/index_file/Files/Padilla-Diallo-Tolk.pdf ↩
Gianni, Daniele; D'Ambrogio, Andrea; Tolk, Andreas, eds. (December 2, 2014). Modeling and Simulation-Based Systems Engineering Handbook (1st ed.). CRC Press. p. 513. ISBN 9781466571457. 9781466571457 ↩
Lee, Hyunshik J.; et al. (2013). "Simulation Study to Validate Sample Allocation for the National Compensation Survey" (PDF). JSM 2013 - Survey Research Methods Section. Bureau of Labor Statistics. Archived from the original (PDF) on 2014-05-04. https://web.archive.org/web/20140504084914/http://www.bls.gov/osmr/pdf/st130210.pdf ↩
"Waite, W. (2004) "Foundations '04: A Workshop for VV&A in the 21st Century, Session 10: V&V Education Initiatives". Archived from the original on 2011-09-30. Retrieved 2010-10-15. https://web.archive.org/web/20110930014211/https://www.scs.org/confernc/foundations/finalprogram.doc ↩
http://www.wiley.com/WileyCDA/Section/id-815482.html http://www.wiley.com/WileyCDA/Section/id-815482.html ↩