Example models included with all our simulation tools.
|Simple Business Plan Forecast Model without Uncertainty
|Simple Business Plan Forecast Model with Uncertainty
|Simple Business Plan Model with Uncertainty using Interactive Simulation
|An example of how to use a Certified Distribution.
Requires that the following workbook, "BusinessPlanCertify.xls", is also open.
|An example of how to to create a Certified Distribution
|Example of how to generate a SLURP
|An example illustrating the use of SLURPs to model store sales under uncertain demand
|An example illustrating fitting a distribution to data, and using the fitted distribution to model a college fund's growth
|An example illustrating modeling an investment fund's growth given uncertain return rates
|An example illustrating the use of Monte-Carlo Simulation to compute the value of the mathematical constant, Pi.
|Example illustrating use of Conditional Distributions, by Sam Savage
|Example illustrating the Flaw of Averages, by Sam Savage
|An example illustrating modeling stock price movements using a Simple Geometric Brownian Motion
|An example illustrating Probable Loss on Insurance Claims, using a compound distribution
|Example of dealing with Interactive Distributions, by Sam Savage
|An example illustrating modeling multi-period Inventory problems with uncertain demand
|An example modeling the number of components manufactured given uncertain processing times on two machines
|An example illustrating modeling the Newsvendor problem under uncertain demand
|An example modeling the Newsvendor Problem when the uncertain demand has a complex structure; the demand follows multiple distributions, each with a given probability.
|An example illustrating a project's NPV analysis under uncertainty
|An example illustrating the effect of uncertainty in completion times on the overall project duration
|An example of an Simulation/Optimization model
|An example illustrating the use of Monte-Carlo Simulation to model Reliability Engineering problems. The historical failure data is fitted to an appropriate distribution, which is then used in the analysis
|An example illustrating the use of Monte-Carlo Simulation to model Reliability Engineering problems. The historical failure data is used directly in the analysis
|An example illustrating the use of Monte-Carlo Simulation to estimate workforce levels required to meet demand
|An example illustrating use of Monte-Carlo Simulation in Airline Yield Management
|An example illustrating use of Monte-Carlo Simulation in Airline Yield Management; this example also shows the use of a parameterized simulation model to arrive at good decision policies under uncertainty
|An example illustrating use of Monte-Carlo Simulation in Airline Yield Management; this example also shows the use of Simulation Optimization to arrive at optimal decisions under uncertainty
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