Repairable System Analysis via Discrete Event Simulation

BlockSim's simulation capability for reliability, availability, maintainability and supportability (RAMS) analysis of repairable systems is more flexible and realistic than ever. For a new system, you can use simulation results to optimize the design and make projections about how the system may perform in the field. For existing equipment, use the results for maintenance planning, throughput estimates, life cycle cost estimation and more. 

Enhanced in Version 10!

Reliability and Availability Analysis via Simulation

When you utilize simulation, the analysis can consider:

BlockSim’s simulations generate a wide variety of results at the system and/or component level. This includes Uptime/Downtime, Mean Time to First Failure (MTTFF), Availability, Reliability, Number of Failures, Number of PMs/Inspections, Costs, etc. You can use these results for many different applications, including (but not limited to):

The software’s Log of Simulations feature provides the information you need to evaluate the variability in specific simulation results of interest. You can export these results to Microsoft Excel if desired.

Life Cycle Cost Estimation

Every successful organization understands that it is critical to understand the life cycle costs (LCC) associated with their equipment. Whenever applicable, BlockSim allows you to specify both the direct and indirect costs associated with the maintenance strategies that you have defined, including costs related to downtime, maintenance crews, spares, etc. This yields a wide array of simulation results that are instrumental in performing realistic LCC assessments.

In the Synthesis version, we have added the option to enter any cost input as a probabilistic model, if desired. We've also increased the modeling flexibility by allowing you to:

Weibull++ Reliability Life Data Analysis ALTA Accelerated Life Testing Data Analysis DOE++ Experiment Design and Analysis RGA Reliability Growth and Repairable System Analysis BlockSim System Reliability and Maintainability Analysis RENO for Risk Analysis via Discrete Event Simulation Lambda Predict Reliability Prediction Xfmea FMEA and FMECA RCM++ Reliability Centered Maintenance MPC MSG-3 Maintenance Program Creation XFRACAS Web-based FRACAS Orion eAPI Web-based Asset Management ALTA Accelerated Life Testing Data Analysis BlockSim System Reliability and Maintainability Analysis DOE++ Experiment Design and Analysis MPC MSG-3 Maintenance Program Creation Lambda Predict Reliability Prediction RCM++ Reliability Centered Maintenance RENO for Risk Analysis via Discrete Event Simulation RGA Reliability Growth and Repairable System Analysis Weibull++ Reliability Life Data Analysis Xfmea FMEA and FMECA XFRACAS Web-based FRACAS Orion eAPI Web-based Asset Management ALTA Accelerated Life Testing Data Analysis BlockSim System Reliability and Maintainability Analysis DOE++ Experiment Design and Analysis MPC MSG-3 Maintenance Program Creation Lambda Predict Reliability Prediction RCM++ Reliability Centered Maintenance RENO for Risk Analysis via Discrete Event Simulation RGA Reliability Growth and Repairable System Analysis Weibull++ Reliability Life Data Analysis Xfmea FMEA and FMECA XFRACAS Web-based FRACAS Orion eAPI Web-based Asset Management    ReliaSoft.com Footer

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