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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
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.
Issues In Developing An Undergraduate Simulation Course, Paul Savory
Issues In Developing An Undergraduate Simulation Course, Paul Savory
Department of Industrial and Management Systems Engineering: Faculty Publications
Experience in developing an undergraduate simulation course is described. The course introduces the philosophies, principles, and methodologies for discrete-event simulation modeling. Strategy in choosing the course simulation software is discussed, plus important areas of teaching emphasis are highlighted.
Simulation Project Characteristics In Industrial Settings, Paul Savory
Simulation Project Characteristics In Industrial Settings, Paul Savory
Department of Industrial and Management Systems Engineering: Faculty Publications
In a survey of practitioners of discrete-event simulation from industry and research institutes who "build models for money," we asked about project goals, user backgrounds and training, organizational types and activities, software and hardware choices, modeling team composition, and effort allocation within a modeling project. We found that (1) only about half of the practitioners have three or more years experience, (2) many academics feel strongly affiliated with their industry clients rather than with their university employers, (3) shop-floor supervisors rarely lead simulation projects, even though their knowledge of the system may be unparalleled, (4)simulation models are generally described as …