Article

Simulation-based early warning systems as a practical approach for the automotive industry

Authors:

André Hanisch,

Thomas SchulzeAuthors Info & Claims

WSC '06: Proceedings of the 38th conference on Winter simulation

Pages 1962 - 1970

Published: 03 December 2006 Publication History

Abstract

Simulation-based Early Warning Systems (SEWS) support proactive control of real material flow systems. In consequence of real or potential state changes, proactive control (unlike reactive control) makes foresighted and targetoriented acting possible. Starting from the definition of SEWS their architecture and the requirements for design of SEWS are discussed. The compliance with simulatorindependency is one important facet. Basically, this is achieved by the use of Web Services, XML and XSD (XML Schema Definition). One key component of SEWS are online simulation models which are initialized with the current system state of a real system. The utilization of RFID technology to generate information about current system states improves the quality of simulation-based forecasting. Example applications from the automotive industry show the benefits of SEWS.

References

[1]

Banks, J. 1998. Handbook of simulation: principles, methodology, advances, applications and practice. New York: John Wiley & Sons.

[2]

Banks, J. 2000. Simulation in the future. In Proceedings of the 2000 Winter Simulation Conference. Eds. J. A. Joines, R. R. Barton, K. Kang, P. A. Fishwick, Picataway, NJ: IEEE, pp. 1568--1576.

Digital Library

[3]

Brose, G., A. Vogel and K. Duddy. 2001. Java programming with CORBA. advanced techniques for building distributed applications. New York: John Wiley & Sons.

Digital Library

[4]

Finzenkeller, K. 2002. RFID-Handbuch: Grundlagen und praktische Anwendungen induktiver funkanlagen, transponder und kontaktloser chipkarten. Munich: Carl Hanser Verlag.

[5]

Graham, S., S. Simeonov, T. Boubez, D. Davis, G. Daniels, Y. Nakamura and R. Neyama. 2002. Building web services with java: making sense of XML, SOAP, WSDL and UDDI. Indianapolis: Sams Publishing.

Digital Library

[6]

Greulich, W. and S. Barnert. 2003. Der brockhaus computer und informationstechnologie: hardware, software, multimedia, internet, telekommunikation. Mannheim, Leipzig: Brockhaus.

[7]

Hanisch, A., J. Tolujew, and T. Schulze. 2005. Initialization of online simulation models. In Proceedings of the 2005 Winter Simulation Conference. Eds. M. Kuhl, N. Steiger, F. Armstrong, J. Joines, Picataway, NJ: IEEE, pp. 1795--1803.

Digital Library

[8]

Hotz, I. and T. Schulze. 2006a. Simulationsbasierte frühwarnsysteme - definition, anforderungen, architektur. In Simulation und Visualisierung 2006. Eds. T. Schulze, S. Schlechtweg, V. Hinz, SCS European Publishing House, Erlangen 2006, pp. 63--77.

[9]

Hotz, I. and T. Schulze. 2006b. Flexible generation of reports for simulation-based early warning systems using XML. In ECMS 2006 Bonn.

[10]

Lee, T. Y. and Y. Luo. Data exchange for machine shop simulation. In Proceedings of the 2005 Winter Simulation Conference. Eds. M. Kuhl, N. Steiger, F. Armstrong, J. Joines, IEEE, New York, pp. 1446--1452.

Digital Library

[11]

Livingston, D. 2002. Advanced SOAP for web development. Upper Saddle River, NJ: Prentice Hall PTR.

Digital Library

[12]

Lovell, D. 2002. XSL Formatting objects. Indianapolis: Sams Publishing.

[13]

Raape, U., I. Simonis I. and T. Schulze. 2005. Concepts and applications of spatiotemporal interoperability in environmental and emergency management. In Proceedings ITEE'2005. Eds. Filho, L., Marx Gomez J. und C. Rautenstrauch., Shaker Verlag, Aachen 2005, pp. 535--551.

[14]

Röhl, M. and A. M. Uhrmacher. 2005. Flexible integration of XML into modelling and simulation systems. In Proceedings of the 2005 Winter Simulation Conference. Eds. M. Kuhl, N. Steiger, F. Armstrong, J. Joines, Picataway, NJ: IEEE, pp. 1813--1820.

Digital Library

[15]

W3C World Wide Web. 2006. XML {online}. Available via <www.w3.org> {accessed March 10, 2006}.

Cited By

Espinoza CPascual JRamis FBórquez DSepúlveda JBuckley SMiller J(2014)Real-time simulation as a way to improve daily operations in an emergency roomProceedings of the 2014 Winter Simulation Conference10.5555/2693848.2694033(1445-1456)Online publication date: 7-Dec-2014
https://dl.acm.org/doi/10.5555/2693848.2694033
Bergmann SStrassburger S(2010)Challenges for the automatic generation of simulation models for production systemsProceedings of the 2010 Summer Computer Simulation Conference10.5555/1999416.1999486(545-549)Online publication date: 11-Jul-2010
https://dl.acm.org/doi/10.5555/1999416.1999486

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Information & Contributors

Information

Published In

cover image ACM Conferences

WSC '06: Proceedings of the 38th conference on Winter simulation

December 2006

2429 pages

ISBN:1424405017

Editors:
L. Felipe Perrone
Bucknell University
,
Barry G. Lawson
University of Richmond
,
Jason Liu
Colorado School of Mines
,
Frederick P. Wieland
Sensis Corporation
,
General Chair:
David Nicol
University of Illinois, Urbana-Champaign
,
Program Chair:
Richard Fujimoto
College of Computing, Georgia Tech

Sponsors

IIE: Institute of Industrial Engineers
ASA: American Statistical Association
IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
IEEE-CS\DATC: The IEEE Computer Society
SIGSIM: ACM Special Interest Group on Simulation and Modeling
NIST: National Institute of Standards and Technology
(SCS): The Society for Modeling and Simulation International
INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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Winter Simulation Conference

Publication History

Published: 03 December 2006

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WSC06

Sponsor:

IIE
ASA
IEICE ESS
IEEE-CS\DATC
SIGSIM
NIST
(SCS)
INFORMS-CS

WSC06: Winter Simulation Conference 2006

December 3 - 6, 2006

California, Monterey

Acceptance Rates

WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;

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

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Cited By

Espinoza CPascual JRamis FBórquez DSepúlveda JBuckley SMiller J(2014)Real-time simulation as a way to improve daily operations in an emergency roomProceedings of the 2014 Winter Simulation Conference10.5555/2693848.2694033(1445-1456)Online publication date: 7-Dec-2014
https://dl.acm.org/doi/10.5555/2693848.2694033
Bergmann SStrassburger S(2010)Challenges for the automatic generation of simulation models for production systemsProceedings of the 2010 Summer Computer Simulation Conference10.5555/1999416.1999486(545-549)Online publication date: 11-Jul-2010
https://dl.acm.org/doi/10.5555/1999416.1999486

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