The Integration of Reliability, Availability, and Maintainability (RAM) into Model-Based Systems Engineering (MBSE)
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Authors
O'Halloran, Bryan M.
Van Bossuyt, Douglas
Subjects
Model Based Systems Engineering
Reliability Engineering
Reliability Predictions
Reliability Engineering
Reliability Predictions
Advisors
Date of Issue
2021
Date
2021
Publisher
Monterey, California: Naval Postgraduate School
Monterey, California. Naval Postgraduate School.
Monterey, California. Naval Postgraduate School.
Language
en_US
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.
Type
Poster
Description
NPS NRP Project Poster
Series/Report No
Department
Systems Engineering
Organization
Naval Research Program (NRP)
Identifiers
NPS Report Number
Sponsors
Naval Surface Warfare Center (NSWC), Division Crane
ASN(RDA) - Research, Development, and Acquisition
ASN(RDA) - Research, Development, and Acquisition
Funder
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Chief of Naval Operations (CNO)
Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.