Article

Methods and tools for aerospace operations modeling and simulation: Toolkit for Enabling Adaptive Modeling and Simulation (TEAMS)

Authors:

Perakath Benjamin,

Mike Graul,

Madhav ErraguntlaAuthors Info & Claims

WSC '02: Proceedings of the 34th conference on Winter simulation: exploring new frontiers

Pages 763 - 771

Published: 08 December 2002 Publication History

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Abstract

This paper describes the architecture of a Toolkit for Enabling Adaptive Modeling and Simulation (TEAMS). TEAMS addresses key technical problems associated with Space Transportation System operations process modeling and analysis. TEAMS facilitates collaborative and distributed spaceport operations analysis. Functions supported by TEAMS include (i) knowledge management, (ii) operations modeling, and (iii) operations analysis. Key innovations include (i) a process-centered approach that maximizes re-use of domain knowledge for rapid operations analysis model development, (ii) open-architecture, distributed plug and play architecture that allows for mass customization and rapid deployment of TEAMS, and (iii) novel, simulation-based optimization mechanisms. A TEAMS prototype has been developed and demonstrated at Kennedy Space Center.

References

[1]

Benjamin, P. C., R. Mayer, and M. Erraguntla. 1995. Using simulation for robust system design. Simulation 65:2: 116--128.

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[2]

Benjamin, P. C., M. Erraguntla, D Delen, and R. Mayer. 1998. Simulation modeling at multiple levels of abstraction. In Proceedings of the 1998 Winter Simulation Conference, Washington, DC.

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[3]

Delen, D., P. Benjamin, and M. Erraguntla. 1998. Integrated modeling and analysis generator environment (IMAGE): a decision support tool. In Proceedings of the 1998 Winter Simulation Conference, Washington, DC.

Digital Library

Google Scholar

[4]

Knowledge Based Systems, Inc. 1994. Knowledge based assistant for simulation model generation from IDEF3 descriptions. NSF SBIR Phase II Final Report, Contract No. III-9123380.

Google Scholar

[5]

Knowledge Based Systems, Inc. 1997. Automatic generation of VR simulations from IDEF3 behavior descriptions. Navy SBIR Contract No. N00178-97-C-3014.

Google Scholar

[6]

Knowledge Based Systems, Inc. 2001. Toolkit for enabling adaptive modeling and simulation. Phase I NASA SBIR, Contract Number: NAS10--01057.

Google Scholar

[7]

NASA. 2001. NASA space launch initiative. Technology Summary.

Google Scholar

Cited By

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Lucko GBenjamin PSwaminathan KMadden MYücesan E(2010)Comparison of manual and automated simulation generation approaches and their use for construction applicationsProceedings of the Winter Simulation Conference10.5555/2433508.2433897(3132-3144)Online publication date: 5-Dec-2010
https://dl.acm.org/doi/10.5555/2433508.2433897
Lucko GBenjamin PMadden MJefferson TFowler JIngalls R(2008)Harnessing the power of simulation in the project management/decision support aspects of the construction industryProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1517178(2479-2487)Online publication date: 7-Dec-2008
https://dl.acm.org/doi/10.5555/1516744.1517178
Benjamin PAkella KMalek KFernandes R(2005)An ontology-driven framework for process-oriented applicationsProceedings of the 37th conference on Winter simulation10.5555/1162708.1163119(2355-2363)Online publication date: 4-Dec-2005
https://dl.acm.org/doi/10.5555/1162708.1163119
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Published In

WSC '02: Proceedings of the 34th conference on Winter simulation: exploring new frontiers

December 2002

2143 pages

ISBN:0780376153

General Chair:
Jane L. Snowdon
IBM T. J. Watson Research Center, Yorktown Heights, NY
,
Program Chair:
John M. Charnes
The University of Kansas, Lawrence, KS

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Winter Simulation Conference

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Published: 08 December 2002

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WSC02

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INFORMS/CS
IIE
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IEEE/SMCS

WSC02: Winter Simulation Conference 2002

December 8 - 11, 2002

California, San Diego

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WSC '02 Paper Acceptance Rate 166 of 185 submissions, 90%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Lucko GBenjamin PSwaminathan KMadden MYücesan E(2010)Comparison of manual and automated simulation generation approaches and their use for construction applicationsProceedings of the Winter Simulation Conference10.5555/2433508.2433897(3132-3144)Online publication date: 5-Dec-2010
https://dl.acm.org/doi/10.5555/2433508.2433897
Lucko GBenjamin PMadden MJefferson TFowler JIngalls R(2008)Harnessing the power of simulation in the project management/decision support aspects of the construction industryProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1517178(2479-2487)Online publication date: 7-Dec-2008
https://dl.acm.org/doi/10.5555/1516744.1517178
Benjamin PAkella KMalek KFernandes R(2005)An ontology-driven framework for process-oriented applicationsProceedings of the 37th conference on Winter simulation10.5555/1162708.1163119(2355-2363)Online publication date: 4-Dec-2005
https://dl.acm.org/doi/10.5555/1162708.1163119
Madden MWyrick RO'Neill D(2005)A strategy for autogeneration of space shuttle ground processing simulation models for project makespan estimationProceedings of the 37th conference on Winter simulation10.5555/1162708.1162927(1251-1259)Online publication date: 4-Dec-2005
https://dl.acm.org/doi/10.5555/1162708.1162927
Benjamin PGraul MPainter MBoydstun F(2005)Toward effective depot transformationProceedings of the 37th conference on Winter simulation10.5555/1162708.1162926(1242-1250)Online publication date: 4-Dec-2005
https://dl.acm.org/doi/10.5555/1162708.1162926

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Methods and tools for aerospace operations modeling and simulation: modeling the space shuttle

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Methods and tools for aerospace operations modeling and simulation: modeling the space shuttle

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