Include Top

Back to Table of Contents


**Now Includes SigmaXL Version 9.1**

For SigmaXL Version 9.1 features, click here!

DiscoverSimô Version 2.2 Feature List Summary

Key Features (bold denotes new in Version 2.0, 2.1 and 2.2):

  • Excel add-in for Monte Carlo Simulation and Optimization

  • Uses Six Sigma Language: Specify Inputs (Xís) and Outputs (Yís)

  • 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:

    • Mixed Integer Distributed Ant Colony Global Optimization (MIDACO)

    • Genetic Algorithm (GA) Global Optimization

    • Sequential Quadratic Programming (SQP) for Fast Local Optimization

    • Nelder-Mead (NM) simplex optimization for fast non-smoth problems

    • Exhaustive Discrete optimization - all combinations for small discreet problems

    • Powerful hybrid of the above 3 methods:

      1. 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


    • Specify linear and nonlinear constraints

    • Stochastic Optimization Ė minimize dpm or maximize Ppk

    • 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

    Common Continuous Distributions:


  • Normal
  • Triangular
  • Uniform
  • Pearson Family (specify Mean, Std class="auto-style12"Dev, Skewness, Kurtosis)
  • Log Normal**
  • Exponential**
  • Weibull**
  • PERT
  • Custom Continuous (Weighted and Unweighted)
  • Advanced Continuous Distributions:


  • 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**
  • Studentís T
  • Inverse Gamma**
  • Studentís T with Location and Scale (3 Parameter)
  • Inverse Gaussian
  • Von Mises

  • ** denotes with/without Threshold

    Common Continuous Distributions:


  • Bernoulli (Yes/No)
  • Binomial
  • Geometric
  • Hypergeometric
  • Logarithmic
  • Negative Binomial
  • Poisson
  • Step
  • Uniform (Discrete)
  • Custom Discrete (Weighted and Unweighted)

    Stochastic Information Packet (SIP):


  • Import Stochastic Information Packet (SIP).

  • A SIP is a standard library of data (see ProbabilityManagement.org for more details on this standard).





  • Define, Measure, Analyze, Improve, Control

    Lean Six Sigma Software Excel Add-in

    Simulate, Optimize,
    Realize

    Lean Six Sigma Software Excel Add-in

    Web Demos

    Our CTO and Co-Founder, John Noguera, regularly hosts free Web Demos featuring SigmaXL and DiscoverSim
    Click here to view some now!

    Contact Us

    Phone: 1.888.SigmaXL (744.6295)

    Support: Support@SigmaXL.com

    Sales: Sales@SigmaXL.com

    Information: Information@SigmaXL.com