Model Representation in Discrete Event Simulation: The Conical Methodology

dc.contributor.authorNance, Richard E.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:37:08Zen
dc.date.available2013-06-19T14:37:08Zen
dc.date.issued1981en
dc.description.abstractBeginning with a brief review and classification of model development approaches, we characterize the simulation model life cycle as comprised of seven phases: the conceptual model, the communicative model, the programmed model, the experimental model, model results, use of the model for integrated decision support, and the modification and extension of of the model. This characterization places severe requirements on the task of model management (creation, acceptance, use, revision or extension, and reuse). The Conical methodology has been developed in response to the needs that predominate the model development phases (from conceptual model to model results). Definitions used in the Conical Methodology are explained, and the approach is illustrated with a machine repairman example. An incomplete critigue of the result and the approach concludes the paper.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000860/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000860/01/CS81003-R.pdfen
dc.identifier.trnumberCS81003-Ren
dc.identifier.urihttp://hdl.handle.net/10919/20362en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofHistorical Collection(Till Dec 2001)en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleModel Representation in Discrete Event Simulation: The Conical Methodologyen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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