RCM++: Reliability Centered Maintenance (RCM) Software
Putting the reliability back into reliability centered maintenanceTM
ReliaSoft’s RCM++ software tool facilitates the Reliability Centered Maintenance (RCM) analysis approach for creating scheduled maintenance plans, which is an important aspect of an effective asset management program. The software provides support for the major industry RCM standards (such as ATA MSG-3, SAE JA1011 and SAE JA1012) and also offers extensive configuration options to fit your organization's particular RCM analysis approach. Full-featured FMEA / FMECA functionality is also included.
RCM++ provides a flexible and intuitive interface for defining your system configuration and recording the functional failure analysis. The software tool includes configurable equipment selection, failure effect categorization and maintenance task selection capabilities. RCM++ also provides simulation-based calculations that can be used to compare the costs of potential maintenance strategies and a calculator to estimate the optimum maintenance interval for preventive repairs/replacements.
With the release of Version 8, RCM++ analyses are stored in a centralized database that supports simultaneous access by multiple users and shares relevant reliability information between Synthesis-enabled software tools. For enterprise-level repositories, both Microsoft SQL Server® and Oracle® are supported.
ReliaSoft offers a three-day training course that presents an overview of the fundamental techniques/procedures of reliability centered maintenance analysis (RCM analysis), with hands-on training in the use of the RCM++ software for data management and reporting.
Application and Benefits
Some of the potential applications and benefits for using Reliability Centered Maintenance (RCM) techniques and ReliaSoft's RCM++ software tool as part of your organization's asset management program include the ability to:
- Develop a scheduled maintenance plan for a physical asset that will provide an acceptable level of functionality, with an acceptable level of risk, in an efficient and cost-effective manner.
- Evaluate whether preventive maintenance (PM) is appropriate and determine the optimum preventive maintenance intervals.
- Promote analysis processes that are more efficient and more
effective, utilizing lessons learned from past analyses when applicable.