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ReliaSoft® BlockSim

ReliaSoft BlockSim, a complete platform for system reliability, availability and maintainability analyses, allows you to easily model complex systems and processes using reliability block diagrams, fault tree analysis or Markov diagrams.

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Reliability, Availability, and Maintainability Analysis

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

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Quickly build complex models to identify potential areas of poor reliability and where improvements can be made.

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Design any configuration to analyze its reliability, maintainability, and availability using load sharing, standby redundancy, phases, and duty cycles to represent the system.

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Model the reliability and maintainability of equipment and analyze multiple flow types within the system using process flow diagrams.

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Model the behavior of a system with Markov diagrams, and analyze partial or degraded working states.

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Identify bottlenecks in production, optimize resource allocation, and improve the processing efficiency of any system with throughput analysis.

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Specify the direct and indirect costs associated with the maintenance strategies that you have defined, including costs related to downtime, maintenance crews, spares, etc.

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Use flowchart modeling approach and simulation to build and run any complex analyses

Event Analysis module allows you to model and run complex analyses for any probabilistic or deterministic scenario and optimize the results needed for further analysis. Develop ideas, workflows and estimate results of interest with a familiar and intuitive flowcharting concept. Using sensitivity analysis you can track real-time values and evaluate equipment’s behavior over time with reliability or availability results.

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Upstream maintenance optimization for any processes and chemical industries

Process Flow module offers complete solution for process design changes, where you can create and simulate various flow models to improve processes, increase efficiency, and reduce costs. Using simulation approach you are able to choose the best scenario and make confident evidence-based decisions. With its advanced capabilities, Process Flow module becomes an essential tool for visual design and optimization of nearly any technical processes.

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Availability is a metric that combines the concepts of reliability and maintainability. Availability gives the probability of a unit being available — not broken and not undergoing repair — when called upon for use. Industries that rely on certain key pieces of equipment have a powerful interest in being able to model and track the availability of these machines. So do the manufacturers of repairable systems, whose customers will have a keen interest in the availability of the products they are buying. System availability estimation is most frequently done through simulation.

Maintainability is defined as the probability of performing a successful repair action within a given time. In other words, maintainability measures the ease and speed with which a system can be restored to operational status after a failure occurs. This is similar to system reliability analysis except that the random variable of interest in maintainability analysis is time-to-repair rather than time-to-failure. For example, if it is said that a particular component has a 90% maintainability for one hour, this means that there is a 90% probability that the component will be repaired within an hour. When you combine system maintainability analysis with system reliability analysis, you can obtain many useful results concerning the overall performance (availability, uptime, downtime, etc.) that will help you to make decisions about the design and/or operation of a repairable system.

In many different industries, there is a need to model and analyze systems that are designed to process or make something so that analysts can estimate production capacity, identify potential bottlenecks, etc. When using the Reliability Block Diagram (RBD) approach for system modeling and analysis, it is possible to add information about the capacity of each component and then use simulation to perform a variety of throughput calculations for the system. This includes System Throughput, Component Throughput, Excess Capacity, Backlog and a variety of other useful results.

Fault tree analysis is one of many symbolic "analytical logic techniques" found in operations research, system reliability analysis, risk analysis and other disciplines. A fault tree diagram follows a top-down structure and represents a graphical model of the pathways within a system that can lead to a foreseeable, undesirable loss event (or a failure). The pathways interconnect contributory events and conditions using standard logic gates (AND, OR, etc). Analysts may wish to use fault trees in combination with reliability block diagrams for system analysis. Fault trees may also be useful for analyzing the effects of individual failure modes and in conjunction with FMEA.

A Reliability Block Diagram (RBD) is a graphical representation of the components of the system and how they are reliability-wise related. The diagram represents the functioning state (i.e., success or failure) of the system in terms of the functioning states of its components. For example, a simple series configuration indicates that all of the components must operate for the system to operate, a simple parallel configuration indicates that at least one of the components must operate, and so on. When you define the reliability characteristics of each component, you can use software to calculate the reliability function for the entire system and obtain a wide variety of system reliability analysis results, including the ability to identify critical components and calculate the optimum reliability allocation strategy to meet a system reliability goal. Likewise, when you also define the maintainability characteristics of the components in the RBD, you can use software to simulate the operation of the system and obtain an array of system maintainability and availability results that will help you to make decisions about the design and/or operation of the system.

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
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