Basic Quantitative RMA for the Practitioner

Timothy Adams
Tim Adams is a senior engineer in quantitative reliability and risk for the NASA Kennedy Space Center. Tim’s interests, experience, and education provide a multidisciplinary approach.

Tim’s corporate work experience includes various engineering roles pertaining to the design and use of computerized (CNC) machine tools. For a large international oil-services company, he more


RMA stands for Reliability, Maintainability and Availability. This presentation targets the practitioner working basic quantitative Reliability, Maintainability, and Availability (RMA). The presentation’s sequence is: 1. RMA concepts are described, and five central questions in RMA are stated to describe basic competencies in probabilistic RMA. 2. Each central question is illustrated with an example, and each example is worked in Microsoft Excel. 3. Three of the questions and associated examples pertain to forecasting reliability for the following scenarios: a. New item with no downtime b. Used item with no downtime c. New item with scheduled downtime for idealized preventive maintenance. 4. The three mentioned reliability cases are compared as a means to summarize principles pertaining to when break-in and preventive maintenance provide a benefit to the reliability measure. 5. A process that transforms data to a math model for reliability and maintainability is described. 6. Sources for life data and tips for making a data collection program are summarized.

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