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Operations Research, Systems Engineering and Industrial Engineering Commons™
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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Randomly Generating Manufacturing Flow Line Models Using Mathematica, Paul Savory
Randomly Generating Manufacturing Flow Line Models Using Mathematica, Paul Savory
Department of Industrial and Management Systems Engineering: Faculty Publications
To test heuristic algorithms and techniques, researchers need numerous datasets so as to measure effectiveness and improve approaches. This paper discusses using Mathematica, a mathematical programming language, for randomly generating the specifications for manufacturing flow line models. Important issues include determining an arrival rate to a flow line, the number of flow line stations, the number of parallel servers for each production station, and specifying the service time distributions and their associated parameters. The paper concludes with a discussion on generating more general types of simulation models.
Using Mathematica To Aid Simulation Analysis, Paul Savory
Using Mathematica To Aid Simulation Analysis, Paul Savory
Department of Industrial and Management Systems Engineering: Faculty Publications
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.