BlockSim: System Reliability and Maintainability Analysis Software Tool

The ultimate system visualization and analysis tool!

ReliaSoft’s BlockSim software tool provides a comprehensive platform for system reliability, availability, maintainability and related analyses.The software offers a sophisticated graphical interface that allows you to model the simplest or most complex systems and processes using reliability block diagrams (RBDs) or fault tree analysis (FTA) or a combination of both approaches! In Version 10, Markov diagrams are also available (if supported by your license).

Software Features

BlockSim supports an extensive array of reliability block diagram (RBD) configurations and fault tree analysis (FTA) gates and events, including advanced capabilities to model complex configurations, load sharing, standby redundancy, phases and duty cycles. Using exact computations and/or discrete event simulation, BlockSim facilitates a wide variety of analyses for both repairable and non-repairable systems. This includes:
– System Reliability Analysis
– Identification of Critical Components (Reliability Importance Measures)
– Optimum Reliability Allocation
– System Maintainability Analysis (Determine Optimum Preventive Maintenance Intervals, Spare Parts Provisions, etc.)
– System Availability Analysis (Calculate Uptime, Downtime, Availability, etc.)
– Throughput Calculation (Identify Bottlenecks, Estimate Production Capacity, etc.)
– Life Cycle Cost Estimation

Applications et avantages

The BlockSim software provides an extensive array of tools to help you model and analyze systems and/or processes. Some of the potential applications and benefits for using reliability block diagrams (RBDs), fault tree analysis (FTA) and ReliaSoft’s BlockSim software include:

– Identify critical components (or failure modes) and determine the most effective ways to improve system performance through design improvements and/or maintenance planning.
– Use simulation to obtain estimated performance metrics that can facilitate decision-making in a variety of areas, such as scheduling planned maintenance, planning for spares, identifying bottlenecks in production throughput and estimating life cycle costs.
– Identify vulnerabilities in a system and determine the most effective ways to reduce the risk.