An inventory ordering model that illustrates how the Time Series Define feature can be used to generate demands.
Resources
An inventory ordering model that illustrates how the Time Series Define feature can be used to generate demands.
A model which illustrates how the bullwhip effect can occur with a single retailer and supplier and a second model that illustrates the bullwhip effect when there are multiple tiers of suppliers.
This model of a company's multiple projects over a 12-month horizon. Each project is planned to start in a given month, and from that month on, it has anticipated costs, some of which are known (or 0) and some of which are uncertain. There are possible random delays (or, for a few projects, possible earlier starting months), which shift the cost schedule to the right (or the left). In addition, each project has a 5% chance of failing in any month after its actual starting month. If it fails in a given month, that month's costs plus any remaining months' costs are not incurred._x000D_
A model that illustrates how @RISK can be used to correlate task times in a project.
A model for determining whether the total of uncertain costs meets a budget
A model of an electrical system that illustrates @RISK's Six Sigma functions.
These examples files can be used as a template to understand the capability of a system. You will find three of them:
1. A basic @RISK model where the system functions if at least k of its n parts function.
2. A version where the values of the parts are correlated.
3. A model that illustrates @RISK's Six Sigma functions in a process control setting.
A model for building a catapult that illustrates @RISK's Six Sigma functions in the context of DOE.
A model for welding a disk onto a ring that illustrates @RISK's Six Sigma functions in the context of DOE.
A model that illustrates the use of the Taguchi quadratic loss function to measure uncertain quality.
According to ESPN Magazine, the NCAA tournament is one of the most wagered-on events in sports. Veteran bookmakers estimate bets range from $12 billion to $26 billion (roughly the GDP of Honduras). If you are looking for that edge to improve your office pool odds, take a look at this @RISK model of the 2015 NCAA tournament, built by Andrew Pulvermacher of Nighthawk Intelligence. Using publicly available data, you will be able to tame March Madness by managing uncertainty.
