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The Integration of Reliability, Availability, and Maintainability (RAM) into Model-Based Systems Engineering (MBSE)

Authors: O'Halloran, Bryan M.; Van Bossuyt, Douglas;

The Integration of Reliability, Availability, and Maintainability (RAM) into Model-Based Systems Engineering (MBSE)

Abstract

In recent years, the expansion of new technology has resulted in a more challenging design process. This has inflated in complexity of the system as well as its operational sustainment including managing documentation, root causing failures, tracking changes, etc. With the increased challenge seen in designing modern system, Model-Based Systems Engineering (MBSE) has emerged as a paradigm shift to transition the system's design into the digital space. With this transition comes clear and authoritative advantages such as a single source of design truth, a more complete analysis of the system, an improved communication among members of the program, the reuse of models, and many more [Carol, 2016]. While these advantages have been observed in specific uses of MBSE, the ability to employ MBSE is currently limited by the availability of both the knowledge of its employment and the availability of models. Among other topic areas, this limitation includes reliability, availability, and maintainability (RAM). To expand the capability of MBSE, this research investigates the various elements of modeling RAM (i.e., the development of a RAM domain model). (Carol, 2016) E. Carroll and R. Malins, "Systematic literature review: How is model-based systems engineering justified," Sandia National Laboratories, 2016.

This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp

Approved for public release. Distribution is unlimited. 

Naval Surface Warfare Center (NSWC), Division Crane

ASN(RDA) - Research, Development, and Acquisition

Chief of Naval Operations (CNO)

NPS NRP Executive Summary

Keywords

Model Based Systems Engineering, Reliability Predictions, Reliability Engineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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