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Operationalizing digital twins through model‐based systems engineering methods
Systems Engineering, 2020In recent years there has been increased demand for readiness and availability metrics across many industries and especially in national defense to enable data‐driven decision making at all levels of planning, maintenance, and operations, and in ...
Jason Bickford +3 more
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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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General Modeling Language to Support Model‐based Systems Engineering Formalisms (Part 1)
INCOSE International Symposium, 2020Model‐based systems engineering (MBSE) has been proposed for systems engineering (SE) whereby modeling approaches have been developed to support formalisms of system artifacts.
Jinzhi Lu +5 more
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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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Journal of Systems and Software, 2019
To cope with the challenge of managing the complexity of automated production systems, model-based approaches are applied increasingly. However, due to the multitude of different disciplines involved in automated production systems engineering, e.g ...
S. Feldmann +3 more
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To cope with the challenge of managing the complexity of automated production systems, model-based approaches are applied increasingly. However, due to the multitude of different disciplines involved in automated production systems engineering, e.g ...
S. Feldmann +3 more
semanticscholar +1 more source
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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Model‐Based Systems Engineering for Industrial Systems
INCOSE International SymposiumAbstractModel‐Based Systems Engineering (MBSE) in a modeling and simulation approach has emerged as a critical approach for designing and managing complex systems. While traditionally applied to product development, its application to Industrial systems (e.g.
Gauthier Fanmuy +3 more
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