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Our built-in antivirus checked this download and rated it as 100% safe. This software is an intellectual property of ReliaSoft Corporation. ReliaSoft’s BlockSim software tool provides a comprehensive platform for system reliability, availability, maintainability and related analyses.

I am trying to find a software (free if possible) to simulate System Reliability. More specifically, I am looking to simulate systems with sub-components that each have probabilistic (and not deterministic) failure rates (Probabilistic density functions) and if possible probabilistic repair times (MTTR). If possible, the software should handle multiple failure causes for a single system component. My objective is to calculate a system probabilistic reliability function and an overall system MTTR based on time-dependent simulations. The current software I know of is Blocksim from reliasoft (too expensive) and openreliability, but if I'm not mistaken they do not deal with probabilistic failure rates. If you know a package on R or Python that does the trick I am interested in that too. Thank you for your help!

ReliaSoft software applications provide a powerful range of solutions to facilitate a comprehensive set of reliability engineering modeling and analysis techniques. ReliaSoft products help: • Drive reliability improvement by design, both qualitatively and quantitatively, while infusing Design for Reliability (DFR) activities with relevant information that can be used for next-generation products. • Use data-driven analysis to address today's demanding performance specifications, while capturing enterprise-wide knowledge within a self-improving, closed-loop system. • Quickly discover design and process flaws before release to manufacturing while evaluating and improving design margins to reduce development time and cost. • Accurately estimate system availabilities and maintenance schedules from field and test data to reduce field failures and system downtimes.

• Forecast the system and component failures, estimate returns to reduce costs through better warranty modeling and spare part inventory management. • Determine the reliability and availability of the system, resulting in reduced operating costs and minimized unscheduled downtime. • Use advanced statistical methods to support management in financial decision planning.