WHY CHOOSE DISCOVERSIM ?
Excel add-in for Monte Carlo Simulation and Optimization
Easy to use with Six Sigma language - specify Inputs (X's) and Outputs (Y's). Ideal for DFSS, Risk and Project Management.
Powerful - 53 continuous and 10 discrete distributions. Distribution Fitting with Automatic Best Fit, specify correlations between inputs.
Fast - accelerated calculations with Excel spreadsheet interpreter.
Identify important X's with Sensitivity Analysis based on correlation or stepwise regression - includes quadratic terms!
Discover solutions to difficult problems with Global Optimization.
Optimize statistics such as dpm or Ppk and allow for constraints.
DiscoverSim is also bundled with SigmaXL Version 7 for statistical and graphical analysis.
DiscoverSim Version 2.0
DiscoverSim™ Feature List Summary
DiscoverSim™ Version 2.0 Feature List Summary
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
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