Now Includes SigmaXL Version 10

DiscoverSim™ Version 2.2 Feature List Summary

Excel add-in for Monte Carlo Simulation and Optimization

Uses Six Sigma Language: Specify Inputs (X’s) and Outputs (Y’s)

Monte Carlo simulation with 53 Continuous and 10 Discrete Distributions

Batch Distribution Fitting for all Continuous and Discrete Distributions (excluding custom)

Nonnormal Process Capability for all Continuous and Discrete Distributions (excluding custom)

Percentiles to Parameter Calculator

Specify Input Correlations

Excel Formula Interpreter for Accelerated Calculations

Sensitivity Analysis based on correlation or stepwise regression

Optimization using Input Controls:

Exhaustive Discrete optimization - all combinations for small discreet problems

1. All discrete control: MIDACO or Exhaustive Discrete if applicable

2. All continuous controls: MIDACO, GA, followed by SQP or NM

3. Mixed continous/discrete controls: MIDACO 1 (Course), MIDACO 2 (Fine), followed by SQP or NM

Insert DSIM function such as Percentiles or Capability Metrics. These can then be used in constraints

Multiple Response Optimization using Desirability, Weighted Sum or Deviation from Target

Normal

Triangular

Uniform

Pearson Family (specify Mean, Std class="auto-style12"Dev, Skewness, Kurtosis)

Log Normal**

Exponential**

Weibull**

PERT

Custom Continuous (Weighted and Unweighted)

Beta	Johnson SB
Beta (4 Parameter)	Johnson SL
Box-Cox**	Johnson SU
Burr**	Laplace
Cauchy	Largest Extreme Value
Chi-Squared**	Levy
Chi-Squared with Scale (3 Parameter)**	Logistic
Error Function (ERF)	Log Gamma**
F**	Log Logistic**
F with Scale (4 Parameter)**	Maxwell
Fatigue Life**	Non-Central Chi-Squared**
Fisk**	Non-Central F**
Folded Normal	Non-Central T
Frechet**	Pareto
Gamma**	Power
Generalized Error	Rayleigh
Generalized Gamma**	Reciprocal
Generalized Logistic	Skew Normal
Generalized Pareto	Smallest Extreme Value
Half Normal**	Student’s T
Inverse Gamma**	Student’s T with Location and Scale (3 Parameter)
Inverse Gaussian	Von Mises