Full Support for Reliability Centered Maintenance (RCM) Analysis

Equipment Selection

In order to focus resources where they can provide the greatest benefit, the Risk Discovery Analysis feature provides a choice of two configurable methods to determine which equipment will be analyzed with RCM techniques.

One method prompts you to answer a series of yes/no questions, while the other allows you to assign ratings for a variety of different factors and calculate an overall criticality value for each item

Three Complementary Views of the Functional Failure Analysis

The Analysis panel makes it easy to switch back and forth between three complementary views of the functional failure analysis information so you can choose the display that is best suited for your current activity.

Failure Effect Categorization and Maintenance Task Selection

RCM++ supports the failure effect categorization (FEC) and maintenance task selection logic charts in the major industry RCM standards. You also have the option to customize the questions, categories and task types to fit your own specific analysis procedures.

These configurable logic diagrams can help guide the analysis team to discuss the consequences of potential failure modes and consider the maintenance strategy that will be most applicable and effective.

Task Packaging

RCM++ makes it easy to group individual tasks into packages based on factors such as time (scheduled interval), task type and areas in the system where tasks are performed. You can manually assign a task to the appropriate maintenance package or allow the software to automatically group tasks based on the criteria that you have specified for each package. Greatly expanded and enhanced in the new version, this tool now makes it easier to experiment with different intervals and provides a graphical chart to help you visualize the packages that are under consideration.

Weibull++ Reliability Life Data Analysis ALTA Accelerated Life Testing Data Analysis DOE++ Experiment Design and Analysis RGA Reliability Growth and Repairable System Analysis BlockSim System Reliability and Maintainability Analysis RENO for Risk Analysis via Discrete Event Simulation Lambda Predict Reliability Prediction Xfmea FMEA and FMECA RCM++ Reliability Centered Maintenance MPC MSG-3 Maintenance Program Creation XFRACAS Web-based FRACAS Orion eAPI Web-based Asset Management ALTA Accelerated Life Testing Data Analysis BlockSim System Reliability and Maintainability Analysis DOE++ Experiment Design and Analysis MPC MSG-3 Maintenance Program Creation Lambda Predict Reliability Prediction RCM++ Reliability Centered Maintenance RENO for Risk Analysis via Discrete Event Simulation RGA Reliability Growth and Repairable System Analysis Weibull++ Reliability Life Data Analysis Xfmea FMEA and FMECA XFRACAS Web-based FRACAS Orion eAPI Web-based Asset Management ALTA Accelerated Life Testing Data Analysis BlockSim System Reliability and Maintainability Analysis DOE++ Experiment Design and Analysis MPC MSG-3 Maintenance Program Creation Lambda Predict Reliability Prediction RCM++ Reliability Centered Maintenance RENO for Risk Analysis via Discrete Event Simulation RGA Reliability Growth and Repairable System Analysis Weibull++ Reliability Life Data Analysis Xfmea FMEA and FMECA XFRACAS Web-based FRACAS Orion eAPI Web-based Asset Management    ReliaSoft.com Footer

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