A Simulation and Gaming Architecture for Manufacturing Research, Testing, and Training

Published

September 1, 2005

Author(s)

Charles R. McLean, Sanjay Jain, Yung-Tsun Lee, Frank H. Riddick

Abstract

Manufacturing systems are often costly to develop and operate. Simulation technology has been demonstrated to be an effective tool for improving the efficiency of manufacturing system design, operation, and maintenance. But manufacturing simulations are usually developed to address a narrow set of industrial issues, e.g., the purchase of new equipment or the modification of a manufacturing process. Once the analysis is complete a particular simulation model may not be used again. If simulations could be made more modular and easily integrated, they could have tremendous value as tools for manufacturing research, testing, and training. With the incorporation of video game technology, simulations could be created that would enable researchers and students to get near real world experiences with manufacturing. In order to create a realistic virtual manufacturing environment, a number of different types of systems will need to be modeled and integrated. This paper presents a modular reference architecture to facilitate the integration of manufacturing simulation and gaming systems. Opportunities for research, testing, and training are also discussed that will be enabled by the implementation of the architecture.

Citation

NIST Interagency/Internal Report (NISTIR) - 7256

Report Number

7256

NIST Pub Series

NIST Interagency/Internal Report (NISTIR)

Pub Type

NIST Pubs

Download Paper

https://doi.org/10.6028/NIST.IR.7256

Local Download

Keywords

information models, interface standards, serious games, simulation, software architectures, video games, virtual manufacturing

Citation

McLean, C. , Jain, S. , Lee, Y. and Riddick, F. (2005), A Simulation and Gaming Architecture for Manufacturing Research, Testing, and Training, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.7256, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822307 (Accessed September 11, 2024)