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An MBSE modeling approach to efficiently address complex systems and scalability
Author(s) -
Duprez Jean
Publication year - 2018
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2018.00526.x
Subject(s) - software deployment , computer science , leverage (statistics) , scalability , systems engineering , personalization , modeling language , software engineering , model driven architecture , risk analysis (engineering) , process management , unified modeling language , engineering , software , database , medicine , machine learning , world wide web , programming language
For decades Airbus has largely used modeling and simulation techniques all along the development cycle. Nowadays, the use of systemic approaches, associated with proper modeling tools and technics, provides efficient solutions to leverage associated benefits while addressing the increasing systems complexity. This paper highlights some of these modeling principles, providing ways to improve, ease and make design activities more efficient, and providing solutions to better master the overall design complexity. The paper illustrates how to combine them, thanks to a given model structure, based on a deployment case performed within Airbus. Such an implementation requires significant customization efforts, raising risks to well support its deployment in extended enterprise, with other partners. Out of specificities linked to features of used modeling tools, the goal of this paper is to share with the MBSE community some root principles and needs, in order to have them better involved into future tools and standards.