Article

Simulation intelligence and modeling for manufacturing uncertainties

Authors:

Hamid SeifoddiniAuthors Info & Claims

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

Pages 1920 - 1928

Published: 03 December 2006 Publication History

Abstract

The realistic simulation modeling becomes very essential and effective for designing and managing of manufacturing systems, which needs to be addressed manufacturing dynamics. This research includes manufacturing uncertainties in the form of simulation intelligence to improve the system's performance in the high-mix low-volume manufacturing systems. It shows how simulation modeling can be used to evaluate alternative designs in a dynamic uncertain manufacturing environment. Fuzzy rule based machine, labor and logistics uncertainties are addressed in this study. A combination of product mix and production volume is analyzed using intelligent simulation model for an optimal designing of the production system to meet future customer demands. Intelligent knowledge system shows significant close to real-life scenario. The proposed intelligent simulation modeling is validated with real life application.

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Cited By

Ali ABeebe RPandian AYücesan E(2010)Simulation of fuel tank assembly and process analysis for performance improvementProceedings of the Winter Simulation Conference10.5555/2433508.2433699(1556-1566)Online publication date: 5-Dec-2010
https://dl.acm.org/doi/10.5555/2433508.2433699
Ali ABeebe RPandian ADunkin AIngalls R(2009)Simulation of fuel tank assembly and process analysis for performance improvementWinter Simulation Conference10.5555/1995456.1995751(2154-2163)Online publication date: 13-Dec-2009
https://dl.acm.org/doi/10.5555/1995456.1995751
Briggs DJefferson TFowler JIngalls R(2008)Embedding human scheduling in a steel plant simulationProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1517086(1959-1967)Online publication date: 7-Dec-2008
https://dl.acm.org/doi/10.5555/1516744.1517086

Simulation intelligence and modeling for manufacturing uncertainties
1. Applied computing
2. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
  2. Modeling and simulation

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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

Ali ABeebe RPandian AYücesan E(2010)Simulation of fuel tank assembly and process analysis for performance improvementProceedings of the Winter Simulation Conference10.5555/2433508.2433699(1556-1566)Online publication date: 5-Dec-2010
https://dl.acm.org/doi/10.5555/2433508.2433699
Ali ABeebe RPandian ADunkin AIngalls R(2009)Simulation of fuel tank assembly and process analysis for performance improvementWinter Simulation Conference10.5555/1995456.1995751(2154-2163)Online publication date: 13-Dec-2009
https://dl.acm.org/doi/10.5555/1995456.1995751
Briggs DJefferson TFowler JIngalls R(2008)Embedding human scheduling in a steel plant simulationProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1517086(1959-1967)Online publication date: 7-Dec-2008
https://dl.acm.org/doi/10.5555/1516744.1517086

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