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Operations Research, Systems Engineering and Industrial Engineering Commons™
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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
The Science Of Simulation Modeling, Paul Savory, Gerald Mackulak
The Science Of Simulation Modeling, Paul Savory, Gerald Mackulak
Department of Industrial and Management Systems Engineering: Faculty Publications
Many people refer to simulation model building as an “intuitive art”. This implies that modeling can only be done by a select group of highly trained creative people and thus isolates many from considering simulation as a usable tool. Model building is a science that is learned through education, training and experience. In this paper, we discuss the role of science in performing a simulation study. We illustrate the teaching of the science of simulation by discussing the simulation curriculum at Arizona State University.
Extending Simulation’S Advantages To Novice Model Builders: Intellisim Tutorial, Paul Savory, Gerald Mackulak, Jeff Cochran
Extending Simulation’S Advantages To Novice Model Builders: Intellisim Tutorial, Paul Savory, Gerald Mackulak, Jeff Cochran
Department of Industrial and Management Systems Engineering: Faculty Publications
The potential benefits that discrete-event simulation offers are impeded by the high level of expertise necessary to successfully conduct a sound simulation study. As a solution, this paper introduces IntelliSIM, an intelligent simulation environment. Using this environment makes simulation more accessible to users by reducing the need for extensive experience or training. One of IntelliSIM’s key features for accomplishing this is a tutorial and training module that quickly acquaints a novice simulation user with IntelliSIM’s features and the process of performing a simulation study. This paper discusses this tutorial by explaining how IntelliSIM develops a simulation model, thus illustrating how …
Ascertaining Important Features For Industrial Simulation Environments, Gerald Mackulak, Jeffery Cichran, Paul Savory
Ascertaining Important Features For Industrial Simulation Environments, Gerald Mackulak, Jeffery Cichran, Paul Savory
Department of Industrial and Management Systems Engineering: Faculty Publications
Recent years have witnessed the development and commercial release of multiple simulation tools, environments, and intelligent simulators. Each release seems to contain additional advanced features designed to simplify simulation use and increase the productivity of model builders. But to date, no one has addressed feature definition from the viewpoint of a simulation practitioner. This paper discusses our efforts to identify and prioritize simulation features deemed most desirable from the practitioner viewpoint. A series of three questionnaires were developed and administered to a group of qualified simulation practitioners. With results that are of interest to simulation users, researchers, and simulation software …