Title :
Tips And Tricks For Using Simulation Doe To Assess The Complex Interactions Of Your Process
Author :
McCreary, Marietsa Louise
Author_Institution :
3M Co., Saint Paul
Abstract :
When studying a complex process, a design of experiments (DOE) using discrete-event simulation, is a powerful tool to determine key factors and results. A DOE is a road map for data generation and analysis that is methodical, efficient, and meaningful. This presentation highlights two manufacturing simulation case studies with emphasis on the process for creating and assessing the DOEs. DOE evolution is discussed, as well as the difference between a DOE and a DOE model. Tips and tricks for setup, visualization, and graphing are also highlighted.
Keywords :
data analysis; design of experiments; discrete event systems; manufacturing systems; mathematics computing; data analysis; data generation; design of experiments; discrete-event simulation; manufacturing simulation; Data analysis; Data visualization; Discrete event simulation; Manufacturing processes; Process design; Roads; US Department of Energy; Virtual manufacturing;
Conference_Titel :
Simulation Conference, 2007 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1306-5
Electronic_ISBN :
978-1-4244-1306-5
DOI :
10.1109/WSC.2007.4419903
