Use a familiar and intuitive flowcharting concept to build graphical models for the scenarios that you are trying to understand, quantify and/or simulate. Employ easy point-and-click techniques to create flowcharts from blocks, gates and other resources that are already defined in the project — and easily define new modeling elements as your flowchart evolves.
An extensive and flexible selection of building blocks to serve different functions within the flowchart model. Some of the most used modeling features include the ability to:
Event Analysis flowcharts and BlockSim diagrams are directly integrated so you can work with both types of analyses together, and share many of the same resources. You have an option to use outputs from BlockSim RBDs or fault trees as inputs in your flowcharts. For example, if you have an analytical diagram that describes the reliability of a system, you can publish a model that will provide the system reliability when it is needed in any Event Analysis flowchart. Likewise, if you have a simulation diagram that estimates a system's operating cost, uptime, availability and other factors of interest, you can use the new simulation definition resource to draw any of these results into a flowchart.
You can investigate the effect of one or more settings on the simulation results, such as:
Diagram skins allow you to maximize the visual impact and appeal of your flowcharts by applying a set of preferences for the colors, lines, text and images used. Choose from a variety of skins or create your own. Diagram skins are universal across all desktop applications. This means that a single skin can contain the appearance settings for all types of diagrams in BlockSim, Weibull++ and XFMEA/RCM++.
As you type, the module automatically color-codes recognized resources and functions to make it easy to spot potential problems.
When editing an equation, it provides a quick summary of the properties of each resource or function. If you need more information or want to change a resource, you can open the full resource properties window with a click of a button.
You can define conversion factors for entering time values in different units.
Instant access to all of the building blocks that you will use in the equations for your analyses, which includes:
This integrated utility can help you validate and "debug" your flowchart models, and it allows you to move through each step in a flowchart and watch the values as each block or resource is executed. You can also watch the progress during automatically performed number of simulations in "debug" mode.
With Event Analysis module, you can create any flowchart model. Some of the most common include:
Once you have constructed a flowchart model that will explore the scenario of interest to you, the Event Analysis executes the model to generate desired results. This may include averages, sums, arrays, minimum values, maximum values, etc. For models without randomized values, a single execution will yield all results of interest. When randomized values are present, discrete event Monte Carlo simulation will be utilized.
This feature makes it easy to vary one or two variables across analyses/simulation runs. If you are analyzing potential investment strategies, you may wish to vary the number of years that you will be investing and/or the percentage of your income that will be invested to see how different inputs will affect the final results. Likewise, you may wish to generate reliability or availability results for a range of times in order to examine the equipment’s behavior over time.
The Multiple Analyses feature takes the sensitivity analysis capability a step further by allowing you to automatically vary the specified variable(s) in order to determine the value that minimizes or maximizes a specified result. For example, you could use this feature to automatically determine the optimum amount of inventory to maximize profits or the optimum preventive maintenance (PM) interval to minimize costs. The results of each analysis can be displayed in the plot sheet, with the optimum value marked on the plot.