• Publications
  • Influence
Perspectives on the Evolution of Simulation
TLDR
Simulation is introduced in terms of its different forms and uses, but the focus on discrete event modeling for systems analysis is dominant as it has been during the evolution of the technique within operations research and the management sciences. Expand
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Simulation model reuse: definitions, benefits and obstacles
TLDR
This paper summarises that discussion covering issues including the definition of model reuse, the benefits and pitfalls ofmodel reuse and the obstacles to reuse. Expand
  • 127
  • 8
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A history of discrete event simulation programming languages
  • R. Nance
  • Computer Science
  • HOPL-II
  • 1 March 1993
TLDR
The history of simulation programming languages is organized as a progression in periods of similar developments. Expand
  • 163
  • 8
The Conical Methodology and the evolution of simulation model development
  • R. Nance
  • Computer Science
  • Ann. Oper. Res.
  • 1 December 1994
TLDR
This paper is intended to formulate Crookes ' conviction in terms that explain the significance of methodologies within several disciplines that might be characterized as the problem-solving sciences: operations research, management science, software engineering, and systems engineering. Expand
  • 106
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Simulation modeling methodology: principles and etiology of decision support
Linear/Nonlinear Stable/Unstable Transient/Steady State
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Visual Simulation Environment
Describes the Visual Simulation Environment (VSE) software product. VSE has been developed under $1.3 million of research funding, primarily from the US Navy, for over a decade. It enablesExpand
  • 33
  • 5
The time and state relationships in simulation modeling
  • R. Nance
  • Computer Science
  • CACM
  • 1 April 1981
TLDR
Time and state descriptions form the core of a simulation model representation. Expand
  • 155
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Model Representation in Discrete Event Simulation: The Conical Methodology
Beginning 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, theExpand
  • 65
  • 4
The Conical Methodology: A Framework for Simulation Model Development
The Conical Methodology, intended for large discrete event simulation modeling, is reviewed from two perspectives. The designer perspectivebegins with the question: What is a methodology? From anExpand
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  • 4
A specification language to assist in analysis of discrete event simulation models
TLDR
A model specification language used in a model development environment is defined. Expand
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