Industrial and Management Systems Engineering, Department of
Department of Industrial and Management Systems Engineering: Faculty Publications
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Document Type
Article
Date of this Version
12-1995
Abstract
As computer power has increased, so has the capability of software developers to write programs that assist people with time-consuming tasks. Mathematica is such a program. The objective of this paper is to demonstrate how Mathematica, a symbolic programming environment, can be used to aid simulation analysis. In addition to a general discussion of Mathematica’s uses, advantages, and disadvantages, several examples will be presented. The examples include using Mathematica for distribution fitting, queueing analysis, random number generation, and creating a surface plot for optimization.
Included in
Industrial Engineering Commons, Operational Research Commons, Other Operations Research, Systems Engineering and Industrial Engineering Commons
Comments
P. Savory (1995), “Using Mathematica to Aid Simulation Analysis,” Proceedings of the 1995 SCS Winter Simulation Conference, (ISBN: 0-7803-3018-8), ed. Alexopoulos, Kang, Lilegdon, and Goldsman, pp. 1324-1328, Washington, D.C., December 1995.