Enhancing model-based systems engineering with the Lifecycle Modeling Language
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As systems become more complex, the systems engineering community must find new and more efficient ways of dealing with complexity throughout the system's lifecycle. Model- Based Systems Engineering (MBSE) has proven to be effective at managing complexity through the development of systems in a virtual environment. Several languages have been developed in the spirit of MBSE; however, these languages often do not include the full spectrum of information needed for holistic system solutions. The Lifecycle Modeling Language (LML) has been developed to provide extensible language that contains both visualization models and an ontology. When LML is coupled with the Systems Modeling Language (SysML), the result is a modeling constructs that better supports systems engineering processes across the entire spectrum of lifecycle concerns. This coupling will not only be beneficial today, but could serve as a catalyst for a future MBSE environment.
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Langford, Gary; Eger, Robert III (Monterey, California. Naval Postgraduate School, 2016);This research examines new methods to improve traceability and transparency throughout the funding lifecycle for projects, contracts, and tasks through the tenets of lifecycle systems engineering. The approach is to apply ...
Apte, Uday; Kang, Keebom (Naval Postgraduate School, 2006-09-30); NPS-LM-06-033In general, during the lifecycle of a weapon systems a significantly larger amount of money gets spent in operating and maintaining the system than acquiring it. Hence, efficient logistics systems, including transportation, ...
Apte, Uday; Kang, Keebom (2007-04-01); NPS-AM-07-038In general, during the lifecycle of a weapon system, a significantly larger amount of money gets spent on operating and maintaining the system than on acquiring it. Hence, efficient logistics systems, including transportation, ...