RENO: Simulation Software for Probabilistic Event and Risk Analysis
If you can flowchart it, you can simulate itTM
ReliaSoft's RENO software tool is a powerful and user-friendly platform for building and running complex analyses for any probabilistic or deterministic scenario using an intuitive flowchart modeling approach and simulation. You can create flowchart models for complex reliability analyses, risk and safety analyses, decision making or maintenance planning. You can also build models for other applications, such as optimizing your stock portfolio or testing your blackjack strategy!
RENO employs a visual and intuitive flowcharting approach to allow you to build models for analyzing even the most complex probabilistic or deterministic scenarios. The software provides an array of definitions and constructs that will allow you to model the situation that you wish to examine. It also provides built-in auto-complete, IntelliSense, color-coding and "debugger" features that will help you build and verify the model. You can then apply simulation to estimate or optimize the results that you need for risk analysis, complex reliability modeling, maintenance planning, operational research, financial planning or other analysis objectives.
With integration into the Synthesis Platform, analyses are now stored in a centralized database that supports simultaneous access by multiple users and shares relevant reliability information between Synthesis-enabled software tools. For enterprise-level repositories, both Microsoft SQL Server® and Oracle® are supported.
ReliaSoft offers a two-day training course that focuses on the principles of probabilistic event and risk analysis using flowchart simulation. The course provides hands-on training with the RENO software tool including numerous case studies that address complex reliability analyses, risk and safety analyses, and optimization methods.
Applications and Benefits
You can use the flowchart models that you create with RENO to estimate results of interest, perform sensitivity analysis to evaluate how key inputs will affect the results and automatically estimate optimum values by performing multiple simulation runs. These techniques can be applied for a wide variety of applications including, but not limited to:
- Risk/Safety Analysis
- Complex Reliability Modeling
- Decision Making
- Maintenance Planning
- Operational Research
- Financial Analysis