
RBDs, fault trees, and Markov diagrams
ReliaSoft BlockSim provides a comprehensive platform for system reliability, availability, maintainability and related analyses that allows you to model the most complex systems and processes using reliability block diagrams (RBDs), fault tree analysis (FTA), or Markov diagrams. Using exact computations or discrete event simulation, BlockSim facilitates a wide variety of analyses for both repairable and non-repairable systems.
The software also now contains optionally licensed features for Process Flow and Event Analysis (formerly known as RENO).

Discover what makes BlockSim a comprehensive platform for product designers and asset managers
Assess system reliability and lower the failure rates
Quickly build complex models to identify potential areas of poor reliability and where improvements can be made.
Make predictions and recognize the patterns
Model the behavior of a system with Markov diagrams, and analyze partial or degraded working states.
Find the most effective ways to improve system performance
Design any configuration to analyze its reliability, maintainability, and availability using load sharing, standby redundancy, phases, and duty cycles to represent the system.
Estimate production capacity and identify critical components
Identify bottlenecks in production, optimize resource allocation, and improve the processing efficiency of any system with throughput analysis.
Enhance your maintenance optimization and simulation modeling
Model the reliability and maintainability of equipment and analyze multiple flow types within the system using process flow diagrams.
Make crucial decisions easier with life cycle cost analysis
Specify the direct and indirect costs associated with the maintenance strategies that you have defined, including costs related to downtime, maintenance crews, spares, etc.

Use flowchart modeling approach and simulation to build and run any complex analyses
Upstream maintenance optimization for any processes and chemical industries

Key Features
System reliability, availability, and maintainability analysis
- Simple series and parallel configuration assume that the failure of any one component causes the system to fail, while simple parallel configuration assumes full redundancy in the system.
- Complex will require a more advanced analytical treatment than a simple combination of series and parallel blocks.
- k-out-of-n can be used to define k-out-of-nredundancy, where a specified number of paths leading to the node must succeed in order for the system to succeed.
- Load sharing for each block that supports a percentage of the total load.
- Standby redundancy is available to become active under specified circumstances. BlockSim can model hot, warm or cold standby configurations.
- Mirrored blocks allow you to put the exact same component in more than one location within the diagram. These blocks can be used, for example, to simulate bi-directional paths in a communications network.
- Multi blocks can help you to save time (and space in the diagram) by using a single block to represent multiple identical components configured in series or parallel.
- Subdiagram options offer a virtually unlimited capability to link diagrams as components in other diagrams, which provides a variety of opportunities to encapsulate one analysis into another.
- AND and OR gates
- NOT, NAND and NOR gates
- Voting gates
- Inhibit gates
- Priority AND and Sequence Enforcing gates
- Load Sharing and Standby gates

- Reliability and probability of failure
- Reliable life (i.e., time for a given reliability)
- BX% life (i.e., time for a given unreliability)
- Mean life
- Failure rate
- Task scheduling logistics, which includes a “Virtual Age” option for situations in which the scheduled maintenance task will be performed even if the item has failed.
- Restoration factor that captures the impact of repairs on the future reliability of the component.
- Duty cycles for components (or assemblies) that experience a different stress load than the rest of the system.
- Expected downtime associated with corrective or scheduled maintenance.
- Costs and logistical constraints associated with allocating the personnel (repair crews) and materials (spare parts) required to perform maintenance.
- Maintenance groups that identify components that will receive maintenance based on what happens to other components.
- State change triggers that activate or deactivate a block under certain conditions during the simulation. This provides increased modeling flexibility for highly complex dependency scenarios, such as standby configurations and other situations when you may need to divert the simulation onto an alternate path when a particular event occurs.
- Choosing the most effective maintenance strategy based on considerations of safety, cost and/or availability.
- Using the optimum replacement tool to calculate both the optimum preventive maintenance (PM) and/or optimum inspection intervals.
- Managing the spare parts inventory based on considerations of cost, utilization rate, supply bottlenecks, etc.
- Identifying the components that have the biggest impact on availability (downtime).
- Specify what kinds of crew delays are included in cost calculations and what delays should be ignored.
- Specify costs associated with system failure, including cost per incident and downtime rate.
- Specify system uptime revenue and revenue due to throughput so the simulation is able to calculate opportunity costs.
- View new cost-related simulation results, including system-level costs, the contributions of different kinds of wait times to block costs and the contribution (criticality) of a block’s cost to the total system costs.
- Design an experiment in Weibull++ —> simulate the experiment in BlockSim (and Event Analysis module)—> then return to Weibull++ and analyze the simulated “response” data.
- Perform batch simulation of an RBD, using different input values for each simulation. For example, this tool makes it easy to run a set of simulations that compare a variety of possible scenarios by altering specific inputs (e.g., cost, maintenance interval, etc.) for each simulation.
- Plot setup allows you to completely customize the “look and feel” of plot graphics while the RS Draw metafile graphics editor provides the option to insert text, draw objects or mark particular points on plot graphics. You can save your plots in a variety of graphic file formats for use in other documents.
- Overlay plots allow you to plot multiple results together in the same plot. This can be an effective visual tool for many different purposes, such as comparing different analyses (e.g., Design A vs. Design B) or demonstrating the effects of a design change (e.g., Before vs. After).
- Customizable reports seamlessly integrate spreadsheet and word processing capabilities while enabling you to include calculated results and plots from your analysis.


Training Courses
Find training for life data analysis, accelerated life testing, and reliability growth with guided usage of Weibull++ software.
Events
Case Studies
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Asset Performance Management Supported by Reliability Engineering
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Creating Initial Scheduled Maintenance Plans for Aircraft, MSG-3
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MIL-217, Bellcore/Telcordia and Other Reliability Prediction Methods for Electronic Products
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