System Reliability, Availability, and Maintainability Analysis

Markov diagrams

Markov diagrams allow you to model the behavior of a system in various states using a memoryless process, where the next state of the system is only dependent on the transition values and the current state of the system. This gives you the ability to look at partial or degraded working states, and to start analysis in varying states. If you have the Event Analysis module you can also analyze a Markov diagram during a simulation and use the analysis result in your flowchart.

Reliability analysis via analytical diagrams

Use the convenient Quick Calculation Pad (QCP) and plot sheets to calculate and visualize key system reliability metrics such as:

• 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
  
  

Minimal cut sets

For each analytical diagram, BlockSim identifies the unique combinations of component failure that can cause system failure. These minimal cut sets can be used to understand the structural vulnerability of a system.

Identify critical components

FRED Reports (Failure Reporting, Evaluation and Display) provide an intuitive graphical presentation of key metrics, with color-coding to identify the ones that may be critical for system improvement. FRED reports are available for analytical and simulation diagrams.

Reliability importance plots

BlockSim provides a set of Reliability Importance plots designed to show the relative importance of each component with respect to the overall reliability of a system.

Optimum reliability allocation

BlockSim provides a tool dedicated to helping you find the most effective reliability allocation to meet a system’s reliability goal. This feature supports Equal, Weighted and Cost Optimized methods. Start at the system level and click your way to the component or failure mode level while the software automatically computes the target reliability for each item/mode and transfers it to the next.

Availability analysis via simulation diagrams

BlockSim simulation capability for reliability, availability, maintainability and supportability 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. 

When you utilize simulation, the analysis can consider:

• 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.

BlockSim simulations generate a wide variety of results at the system and/or component level (such as 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:

• 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).

The Log of Simulations feature provides the information you need to evaluate the variability in specific simulation results of interest. 

Use the linear, exponential, power, logarithmic, Gompertz or Lloyd-Lipow models to extrapolate the failure times of a product based on its performance (degradation) over a period of time. Weibull++ also includes destructive degradation analysis and the option to create user-defined degradation models.

Life cycle cost estimation

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. With BlockSim modeling flexibility, you can:

• 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.

Phase diagrams

You can use reliability phase diagrams (RPDs) to model systems that go through different phases during the course of their operation. For example, some aircraft components operate only during the take-off and landing phases of a mission. Other components may experience a higher failure rate during certain phases due to higher stress.

In addition, the software uses Maintenance Phases to model scenarios in which a system goes directly to maintenance under specified conditions. For example, if a failure during the taxi phase sends an aircraft in for maintenance, it will start over from the beginning of the mission once repaired — not from the middle of the taxi phase where it was when the failure occurred, as other RBD analyses have been forced to assume. This flexibility provides a tremendous leap forward in the ability to simulate system operation more realistically.

BlockSim includes success/failure paths, for situations where a system proceeds to one operational phase upon success and a different operational phase upon failure. Node blocks and stop blocks are included as well.

"What-if" scenario simulation using variables

The Simulation Worksheets feature allows you to vary values that are used in BlockSim RBD or Event Analysis module simulations. This enables you to investigate the effect of one or more variables on the simulation results. With those two useful applications, you can:

• 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.

Throughput analysis

The throughput analysis can be used to identify bottlenecks, optimize resource allocation and otherwise improve the processing efficiency of the system. The software allows you to determine how the simulation will allocate the processed output across the paths defined in the diagram. It also allows you to specify how the backlog will be processed. When the throughput varies over time, BlockSim phase diagrams can be combined with models to describe the time-dependent variability (linear, exponential or power).

Multi-thread support and batch mode

BlockSim allows you to run simulations in multiple threads. This may improve performance and save time when simulating complex diagrams. Additionally, the Batch Mode feature improves productivity by allowing you to schedule a series of simulations in advance. 

Plots and reports

Visualize your analysis results with variety of plots and charts options:

• 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.