The use of simulation modeling and factorial analysis as a method for process flow improvement
Over the past quarter century, much effort has been devoted to the design and development of simulation modeling languages, and to methods for the development of simulation models themselves. Less effort, however, has been expended on the design of the experimental models upon which simulation studies are based. This paper describes a methodology for the determination of near optimal solutions considering experimental design and simulation modeling. Using this methodology, simulation scenarios are created and analyzed using an analysis of variance (ANOVA)-based experimental design. This paper also presents an application of this method in analyzing a manufacturing system design problem.
Technology and Construction Management
Analysis of variance (ANOVA), Design of experiments, Factor interaction, Factorial analysis, Production management, Simulation modeling
Callahan, Richard N., Kevin M. Hubbard, and Neil M. Bacoski. "The use of simulation modeling and factorial analysis as a method for process flow improvement." The International Journal of Advanced Manufacturing Technology 29, no. 1-2 (2006): 202-208.
International Journal of Advanced Manufacturing Technology