Model-based approach to support Multi-Disciplinary Analysis and Optimization capability governance at enterprise level: preliminary results

2023 18th Annual System of Systems Engineering Conference (SoSe) Pub Date : 2023-06-14 DOI:10.1109/SoSE59841.2023.10178433

Nicolas Sarda, Rafael Estanguet, Dominique Ernadote

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Abstract

Airbus's DDMS program (Digital Design Manufacturing and Services) aims to increase the Capability Readiness Level (CRL) of various modelling simulation features, including Multi-Disciplinary Analysis and Optimization (MDAO) capabilities. Within the Airbus Defence and Space division, this is performed through a work package called TOMAS that stands for Trade-Off and Multidisciplinary Analysis Solution. The objective of the work described in this paper is to deploy an MDAO capability governance at enterprise level based on a Model-Based Systems Engineering (MBSE) approach. Preliminary results in Airbus Defence and Space context are also described. Deployment at scale of MDAO capabilities can be seen as a complex topic and as such, a rigorous method is required. Thanks to a model-based approach we tailor the capture and formalization of business concerns. This helps define what is required to support MDAO deployment in projects, meanwhile answering the following questions: when are the MDAO capabilities needed and how long do we need to sustain them?

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支持企业级多学科分析和优化能力治理的基于模型的方法:初步结果

空中客车公司的DDMS项目(数字设计制造和服务)旨在提高各种建模仿真功能的能力准备水平(CRL)，包括多学科分析和优化(MDAO)能力。在空中客车防务和航天部门，这是通过一个名为TOMAS的工作包来执行的，该工作包代表权衡和多学科分析解决方案。本文中描述的工作的目标是基于基于模型的系统工程(MBSE)方法在企业级部署MDAO功能治理。还描述了空中客车防务和航天领域的初步结果。在MDAO功能的规模上进行部署可以看作是一个复杂的主题，因此需要一种严格的方法。由于基于模型的方法，我们对业务关注的捕获和形式化进行了裁剪。这有助于定义在项目中支持MDAO部署所需的条件，同时回答以下问题:何时需要MDAO功能以及我们需要维持它们多长时间?

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2023 18th Annual System of Systems Engineering Conference (SoSe)

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