ACM Home Page
Please provide us with feedback. Feedback
Digital Library logoTake a look at the new version of this page: [ beta version ]. Tell us what you think.
Distributed web-based component architectures: a model-based approach for component simulation development
Full text PdfPdf (377 KB)
Source Winter Simulation Conference archive
Proceedings of the 32nd conference on Winter simulation table of contents
Orlando, Florida
SESSION: Web-based and Java-based simulation table of contents
Pages: 1831 - 1839  
Year of Publication: 2000
ISBN:0-7803-6582-8
Authors
Perakath Benjamin  Knowledge Based Systems, Inc., College Station, TX
Dursun Delen  Knowledge Based Systems, Inc., College Station, TX
Richard Mayer  Knowledge Based Systems, Inc., College Station, TX
Timothy O'Brien  NASA, Kennedy Space Center, FL
Sponsors
IIE : Institute of Industrial Engineers
ASA : American Statistical Association
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
INFORMS-CS : Institute for Operations Research and the Management Sciences-College on Simulation
NIST : National Institute of Standards and Technology
SIGSIM: ACM Special Interest Group on Simulation and Modeling
SCS : The Society for Computer Simulation International
Publisher
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 8,   Citation Count: 2
Additional Information:

abstract   references   cited by   collaborative colleagues  

Tools and Actions: Review this Article  

ABSTRACT

The increasing complexity of systems has enhanced the use of simulation as a decision-support tool. Often, simulation is the only scientific methodology available to practitioners for the analysis of complex systems. However, only a small fraction of the practical benefits of simulation modeling and analysis have reached the potentially large user community because of the relatively high requirement of time, effort, and cost needed to build and successfully use simulation models. In this paper we describe a model-based approach that seeks to address these problems via the implementation of MODELSIM---a comprehensive modeling and analysis architecture that includes (i) application of the IDEF3 and IDEF5 methods for simulation modeling and analysis specification, (ii) automatic generation of executable component-based simulations from IDEF-based descriptive models, and (iii) reusable libraries of modeling components to facilitate rapid configuration of models as needed over extended periods of time.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
 
3
Knowledge Based Systems, Inc. (KBSI). 1994. IDEF5 Ontology Description Capture Method Report. Information Integration for Concurrent Engineering (IICE), College Station, TX. ⟨http://www.idef.com⟩.
 
4
Knowledge Based Systems, Inc. (KBSI). 1995. IDEF3 Process Description Capture Method Report. Information Integration for Concurrent Engineering (IICE), College Station, TX. ⟨http://www.idef.com⟩.
 
5
 
6
 
7
Phillips, D. T., A. Ravindran, J. Solberg. 1976. Operations Research: Principles and Practice. John Wiley & Sons, Inc. New York.
 
8

Collaborative Colleagues:
Perakath Benjamin: colleagues
Dursun Delen: colleagues
Richard Mayer: colleagues
Timothy O'Brien: colleagues