Nov 13, 2009 · This paper presents a sensitivity analysis of discrete-event simulation models based on a twofold approach formed by Design of Experiments (DOE) factorial ...

This paper presents a sensitivity analysis of discrete-event simulation models based on a twofold approach formed by Design of Experiments (DOE) factorial ...

In order to ease this process, the use of fractional factorial design can be used to conduct sensitivity analysis on a simulation model in order to select the ...

Sensitivity analysis in discrete-event simulation using fractional factorial designs. J. Montevechi, R. de Almeida Filho, A. de Paiva, R. da Silva Costa, ...

Sep 6, 2012 · Sensitivity analysis in discrete-event simulation using fractional factorial designs · Engineering, Mathematics. J. Simulation · 2010.

This regression analysis gives better results when the simulation experiment is well desig- ned, using classical statistical designs such as fractional.

Model evaluation: Sensitivity analysis can be used to gauge model inferences when assumptions about the structure of the model or its parameterization are ...

This regression analysis gives better results when the simulation experiment is well designed, using classical statistical designs such as fractional factorials ...

A model sensitivity analysis is therefore useful in determining which model input parameter(s) create the largest variability in model output, require accurate ...

Discrete event simulation (DES) is a form of computer- based modeling that provides an intuitive and flexible approach to representing complex systems.