Nicolas Sarda, Rafael Estanguet, Dominique Ernadote
{"title":"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","authors":"Nicolas Sarda, Rafael Estanguet, Dominique Ernadote","doi":"10.1109/SoSE59841.2023.10178433","DOIUrl":null,"url":null,"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?","PeriodicalId":181642,"journal":{"name":"2023 18th Annual System of Systems Engineering Conference (SoSe)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Model-based approach to support Multi-Disciplinary Analysis and Optimization capability governance at enterprise level: preliminary results\",\"authors\":\"Nicolas Sarda, Rafael Estanguet, Dominique Ernadote\",\"doi\":\"10.1109/SoSE59841.2023.10178433\",\"DOIUrl\":null,\"url\":null,\"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?\",\"PeriodicalId\":181642,\"journal\":{\"name\":\"2023 18th Annual System of Systems Engineering Conference (SoSe)\",\"volume\":\"90 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 18th Annual System of Systems Engineering Conference (SoSe)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SoSE59841.2023.10178433\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 18th Annual System of Systems Engineering Conference (SoSe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SoSE59841.2023.10178433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model-based approach to support Multi-Disciplinary Analysis and Optimization capability governance at enterprise level: preliminary results
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?