DiscoverSim Price

DiscoverSim PriceDiscoverSim empowers you to measure your risk using Monte Carlo simulation and mitigate it through global optimization. Frequently, business choices rest on assumptions with a solitary point value estimate or an average, leading to unforeseen results. DiscoverSim™ provides you the capability to simulate the uncertainty inherent in your inputs, equipping you with the foresight to anticipate your outputs.. Contact us for the DiscoverSim software at an affordable price.

 

DiscoverSim Price and Licensing Options

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DiscoverSim Software Features

DiscoverSim provides a huge number of features as follows:

  • Introduction to DiscoverSim, Getting Started Tutorial and DiscoverSim Menu & Dialogs

    • Introduction to Monte Carlo Simulation and Optimization with DiscoverSim
      • Components of Uncertainty
      • Selecting a Distribution
      • Specifying Truncation Values
      • Specifying Correlations
      • Optimization
      • DiscoverSim Getting Started Tutorial

  • Overview of DiscoverSim Menu and Dialogs

    • DiscoverSim Menu and Options
    • Create/Edit Input Distributions
    • Create/Edit Output Response
    • Copy Cell, Paste Cell, Clear Cells
    • Model Summary
    • Run Simulation
    • Distribution Fitting
    • Correlations
    • Optimization Inputs: Controls
    • Optimization Inputs: Constraints
    • Run Optimization

  • DiscoverSim Case Studies

    • Intro To Case Study 1, Basic Profit Simulation
    • Intro To Case Study 2, Magazine Production Optimization
    • Intro To Case Study 3, Six Sigma DMAIC Project Portfolio Selection
    • Intro To Case Study 4, Catapult Variation Reduction
    • Intro To Case Study 5, Robust New Product Design
    • Intro To Case Study 6, Multiple Response Optimization and Practical Tolerance Design, References
    • Intro To Case Study 7, The Travelling Salesperson Problem (TSP), References

  • DiscoverSim Appendix: Statistical Details for Distributions and Optimization Methods

    • Statistical Details for Distributions and Optimization Methods
    • DiscoverSim Engine and Excel Formula Interpreter
    • Input Distribution Random Number Generation
    • Input Distribution Correlations
    • Input Distribution Sampling
    • Input Distribution Truncation
    • Optimization Methods
    • Distribution Fitting - Maximum Likelihood Estimation of Parameters
    • Summary of Distributions
    • Custom Distributions

  • Distributions in DiscoverSim

    • Common Continuous

      • Normal
      • Triangular
      • Uniform
      • Pearson Family (specify Mean, StdDev, Skewness, Kurtosis)
      • Log Normal (Threshold)
      • Exponential (Threshold)
      • Weibull (Threshold)
      • Pert
      • Custom Continuous

    • Advanced Continuous

      • Beta
      • Beta (4 Parameter)
      • Box-Cox (Threshold)
      • Burr (Threshold)
      • Cauchy
      • Chi-Squared (Threshold)
      • Chisq3: Chi-Squared Distribution with Scale (Threshold)
      • Error Function (ERF)
      • F (Threshold)
      • F4: F with Scale (Threshold)
      • Fatigue Life (Threshold)
      • Fisk (Threshold)
      • Folded Normal
      • Frechet (Threshold)
      • Gamma (Threshold)
      • Generalized Error
      • Generalized Gamma (Threshold)
      • Generalized Logistic
      • Generalized Pareto
      • Half Normal (Threshold)
      • Inverse Gama (Threshold)
      • Inverse Gaussian
      • Johnson SB
      • Johnson SL
      • Johnson SU
      • Laplace
      • Largest Extreme Value
      • Levy
      • Logistic
      • Log Gamma (Threshold)
      • Log Logistic (Threshold)
      • Maxwell
      • Non-Central Chi-Squared (Threshold)
      • Non-Central F (Threshold)
      • Non-Central T
      • Pareto
      • Power
      • Rayleigh
      • Reciprocal
      • Skew Normal
      • Smallest Extreme Value
      • Student's T
      • Student's T with Location and Scale (3 Parameter)
      • Von Mises

    • Discrete Continuous

      • Bernoulli (Yes/No)
      • Binomial
      • Geometric
      • Hypergeometric
      • Logarithmic
      • Negative Binomial
      • Poisson
      • Step
      • Uniform (Discrete)
      • Custom Discrete
      • SIP (Stochastic Information Packet - Unweighted Sequential Custom Discrete)