Introduction to SAS simulation studio
Authors: 
Ed Hughes, Emily LadaAuthors Info & Claims
Ed Hughes, Emily LadaAuthors Info & ClaimsAbstract
An overview is presented of SAS Simulation Studio, an object-oriented, Java-based application for building and analyzing discrete-event simulation models. Emphasis is given to Simulation Studio's hierarchical, entity-based approach to resource modeling, which facilitates the creation of realistic simulation models for systems with complicated resource requirements, such as preemption. Also discussed are the various ways that Simulation Studio is integrated with SAS and JMP for data management, distribution fitting, and experimental design.
References
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Akaike, H. 1974. "A New Look at the Statistical Model Identification." IEEE Transactions on Automatic Control AC-19 (6): 716--723.
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Sanchez, S. M., and H. Wan. 2009. "Better Than a Petaflop: The Power of Efficient Experimental Design." In Proceedings of the 2009 Winter Simulation Conference, edited by M. D. Rossetti, R. R. Hill, B. Johansson, A. Dunkin, and R. G. Ingalls, 60--74. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
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SAS Institute Inc. 2010a. JMP 9 Design of Experiments Guide. Available online via http://support.sas.com/documentation/onlinedoc/jmp/902/DOE_Guide.pdf {accessed July 19, 2011}.
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SAS Institute Inc. 2010b. Using JMP 9. Available via http://support.sas.com/documentation/onlinedoc/jmp/902/Using_JMP.pdf {accessed July 19, 2011}.
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SAS Institute Inc. 2011a. SAS 9.3 Language Reference: Concepts. Available via http://support.sas.com/documentation/cdl/en/lrcon/62753/PDF/default/lrcon.pdf {accessed July 19, 2011}.
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SAS Institute Inc. 2011b. SAS Simulation Studio 1.6: User's Guide. Available via http://support.sas.com/documentation/cdl/en/simsug/63965/PDF/default/simsug.pdf {accessed July 19, 2011}.
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Schriber, T. J., and D. T. Brunner. 1998. "How Discrete-Event Simulation Software Works." In Handbook of Simulation, edited by J. Banks, 765--811. New York: John Wiley & Sons, Inc.
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- Introduction to SAS simulation studio
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- IIE: Institute of Industrial Engineers
- INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
- SCS: Shanghai Computer Society
- SIGSIM: ACM Special Interest Group on Simulation and Modeling
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Winter Simulation Conference
Publication History
Published: 11 December 2011
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- Research-article
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WSC'11
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- IIE
- INFORMS-SIM
- SCS
- SIGSIM
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WSC '11 Paper Acceptance Rate 203 of 270 submissions, 75%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%
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