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2014
Abstract : In 2013, Naval Air Systems Command (NAVAIR) at the Naval Air Station, Patuxent River, Maryland initiated a research task (RT-48) to assess the technical feasibility of creating/leveraging a more holistic Model-Based Systems Engineering (MBSE) approach to support Mission-based Analysis and Engineering in order to achieve a 25% reduction in ...
Eirik Hole +3 more
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Abstract : In 2013, Naval Air Systems Command (NAVAIR) at the Naval Air Station, Patuxent River, Maryland initiated a research task (RT-48) to assess the technical feasibility of creating/leveraging a more holistic Model-Based Systems Engineering (MBSE) approach to support Mission-based Analysis and Engineering in order to achieve a 25% reduction in ...
Eirik Hole +3 more
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Smart Model Based Systems Engineering
SAE Technical Paper Series, 2018<title>ABSTRACT</title> <p>Model Based Systems Engineering (MBSE) has been a dominant methodology for defining and developing complex systems; however, it has not yet been paired with cutting-edge digital engineering transformation. MBSE is constrained to
Alejandro Ayala +3 more
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Model-Based Systems Engineering Uptake in Engineering Practice
IEEE Transactions on Engineering Management, 2020Modeling is ubiquitous in engineering, but data on model use and user sophistication in engineering-driven firms are remarkably sparse. Some authors have predicted a sea change in engineering workflow through model-based systems engineering. Despite benefits, the prevalence of effective modeling techniques in industry is an open question.
Bruce Cameron, Daniel Mark Adsit
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Model-Based Systems Engineering
2015Today, we expect our systems to be highly sophisticated, intelligent, intuitive, robust, adaptive, and reliable. As technology, especially computational technology, has increased, so has our ability to imagine and develop even more capable and complex systems. This has progressed to the point where it is rare for an individual to understand all aspects
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APPLYING VIRTUAL ENGINEERING TO MODEL-BASED SYSTEMS ENGINEERING
Systems Research Forum, 2011SysML is a popular tool for capturing and presenting information about a system through models, but integration with domain specific engineering analysis tools and visualizing the results remain two of the biggest challenges for this model-based systems engineering tool.
STEVEN CORNS, AKSHAY KANDE
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Ontology for Systems Engineering: Model-Based Systems Engineering
2012 Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation, 2012This paper presents an ontology for systems engineering, by means of a set of information models based on a modelling methodology derived from and a simplification of the ISO 15926 part 2 data model. The methodology matches the way people think and communicate and is designed specifically to be useful for engineers.
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Model-Based System Concurrent Engineering
2012This work aims to propose the Model-Based Systems Concurrent Engineering (MBSCE) approach. MBSCE is the formalized application of modeling to support integrated and concurrent development of a complex product and their performing organizations. It takes in consideration, from the outset, life cycle process and organization requirements which, together ...
Giuliani Paulineli Garbi +1 more
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Model-based systems engineering of automotive systems
17th DASC. AIAA/IEEE/SAE. Digital Avionics Systems Conference. Proceedings (Cat. No.98CH36267), 2002The primary products of systems engineers all seem to be documents such, as specifications and trade-off studies. Communicating the requirements to hardware and software designers with documents is fraught with problems. By using a model-based approach to systems engineering, there is no ambiguity.
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Model-Based Systems Engineering Implementation Considerations
2019 IEEE International Systems Conference (SysCon), 2019As organizations strive to implement Model-Based Systems Engineering (MBSE), there are significant discussions about model-based languages, tools, and the potential benefits of MBSE. However, discussions not occurring, but should be, are the implementation challenges.
Warren K. Vaneman, Ronald Carlson
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