DocumentCode
2177868
Title
Analytical simulation modeling
Author
Schruben, Lee
Author_Institution
Ind. Eng. & Oper. Res., Univ. of California, Berkeley, CA, USA
fYear
2008
fDate
7-10 Dec. 2008
Firstpage
113
Lastpage
121
Abstract
Simulation modeling methodology research and simulation analysis methodology research have evolved into two nearly separate fields. In this paper, ways are shown how simulation might benefit from modeling and analysis becoming more closely integrated. The thesis of this paper is that simulation analysis and simulation modeling methodologies, considered together, will result in important advancements in both. Some examples demonstrate how dramatically more efficient discrete event simulation models can be designed for specific analytical purposes, which in turn enable more powerful analytical procedures that can exploit the special structures of these models. A series of increasingly difficult analytical problems, and models designed to solve them, are considered: starting with simple performance estimation, and progressing to dynamic multiple moment response surface meta-modeling.
Keywords
discrete event simulation; discrete event simulation; multiple moment response surface meta-modeling; performance estimation; simulation analysis; simulation modeling methodology; Analytical models; Animation; Computational modeling; Computer simulation; Context modeling; Discrete event simulation; Industrial engineering; Operations research; Performance analysis; Programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2008. WSC 2008. Winter
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-2707-9
Electronic_ISBN
978-1-4244-2708-6
Type
conf
DOI
10.1109/WSC.2008.4736061
Filename
4736061
Link To Document