A Collaborative Architecture supporting AGILE Design of Complex Aeronautics Products

Ciampa, Pier Davide; Moerland, Erwin; Seider, Doreen; Baalbergen, E.H.; Lombardi, Riccardo; d’Ippolito, Roberto

doi:10.2514/6.2017-4138

Cited by 27 publications

(23 citation statements)

References 6 publications

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“…Furthermore, based on best practices developed in DC-1, during the DC-2 the overall AGILE framework was enhanced by knowledge-based technologies [15] and IT solutions [16], which contributed to an acceleration of the deployment of the complex MDO processes addressed by the DC-2 use cases. This paper will present DC-2 investigations performed on a use case focusing on enhanced MDO strategies which took advantage of surrogate models to converge the optimization process more rapidly.…”

Section: Fig 4 Dc-2 Investigation Examplesmentioning

confidence: 99%

A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project

Lefebre¹,

Bartoli²,

Dubreuil³

et al. 2018

2018 Multidisciplinary Analysis and Optimization Conference

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Section: Fig 4 Dc-2 Investigation Examplesmentioning

confidence: 99%

A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project

Lefebre¹,

Bartoli²,

Dubreuil³

et al. 2018

2018 Multidisciplinary Analysis and Optimization Conference

Self Cite

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“…Five main agents have been identified (and their roles are also more elaborately discussed in Ciampa et al 9 ):…”

Section: Main Agentsmentioning

confidence: 99%

“…The former formalizes the collaborative development process, and the elements necessary to set up and deploy a collaborative MDO platform within the entire supply chain. 9 The latter is the subject of this paper: knowledge architecture (KA). The overall conceptual elements composing the AGILE paradigm are shown in Figure 1.…”

Section: Solutionmentioning

confidence: 99%

“…Details on the deployment of this collaborative architecture are presented in a companion paper. 9 In the KA the focus in this layer is to have a formalization of the AD process that provides agility to the design team, as such a formalization provides the required interfaces to the upper DP and lower DC layer.…”

Section: B Automated Design Layermentioning

confidence: 99%

“…More information on the deployment of collaborative workflows can be found in another AGILE paper. 9 The automatic import of a CMDOWS file into RCE and Optimus is a recent development that is still in progress.…”

Section: Agents: Architect Integrator Collaborative Engineermentioning

confidence: 99%

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Knowledge architecture supporting collaborative MDO in the AGILE paradigm

Gent

Aigner

Schut

et al. 2017

18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

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The AGILE project is developing the next generation of development processes, and deploying a collaborative MDO design system, called the AGILE development framework (ADF). Naturally, such a system contains a lot of implicit assumptions on how things should be done and how to exploit different existing technologies. This collection of assumptions and technologies is labeled the 'AGILE Paradigm'. The two main building blocks of this paradigm are the Collaborative Architecture and the Knowledge Architecture. In essence, these building blocks aim to support large, heterogeneous teams of experts in performing collaborative development in a streamlined and time-effective way. This paper has a focus on the definition of the Knowledge Architecture (KA) as a general conceptual framework which is independent of the aircraft-specific application in AGILE. The KA can be applied to perform collaborative automated design in large, heterogeneous teams for any complex system (e.g. aircraft, automobiles, wind farms). The KA is structured with a multi-level backbone: Development Process layer, Automated Design layer, Design Competence layer. A fourth transverse layer impacting all other layers is the Data & Schemas layer. Each layer has its own set of assumptions and technologies, but more importantly, interfaces between the levels have to be created in order to have a fully interconnected development process from each design competence up to the top-level business process. The hierarchical levels and interfaces are described in this paper as a generalized paradigm. In addition, four support platforms of the KA in the AGILE project are described in more detail: the development process environment, graph-based support in the design problem formulation, visualization of large, complex automated design processes, and design concepts formalizations. Finally, a use case from the AGILE project is mapped on this paradigm to demonstrate the use of the KA and its support platforms in a realistic design case.

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Extended Enterprise Collaboration for System-of-Systems Requirements Engineering: Challenges in the Era of COVID-19

Awadid

Dubois

2020

Lecture Notes in Business Information Processing

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Given the complexity and evolutionary nature of a System-of-Systems (SoS) entailing frequently changing goals and requirements, extended enterprise collaboration is needed. The idea behind extended enterprise collaboration consists in teaming up with other stakeholders in partnerships in order to manage the skills, risks and investments required to rush the product to market. However, collaboration is far from being trivial, as it is constrained by several challenges such as heterogeneity of stakeholders and their ways of working-let alone global crisis like COVID-19. Thus, an overview of these challenges from both academic and industrial perspectives would be beneficial. With this in mind, based on a survey, this paper provides a comprehensive overview that goes beyond the challenges, to consider the benefits of, methods for, barriers and bridges to efficient collaboration. The survey was conducted among research-active academics in the field of SoS engineering, and companies in the US and European aerospace and defense industries. On the one hand, the results show that in response to COVID-19, work agreements (clear policies, commonly used processes and procedures, tools interoperability, clarity around roles and responsibilities of each collaborating firm, and proper change communication) are required in order to reduce uncertainty. On the other hand, it was revealed that "human bridges" are the backbone of extended enterprise collaboration. It is, indeed, human factors that either impede or promote efficient collaboration. An important finding that comes in agreement with recent calls for shifting the focus from "technology-centered" to "human-centered" SoS engineering.

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A Collaborative Architecture supporting AGILE Design of Complex Aeronautics Products

Cited by 27 publications

References 6 publications

A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project

A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project

Knowledge architecture supporting collaborative MDO in the AGILE paradigm

Extended Enterprise Collaboration for System-of-Systems Requirements Engineering: Challenges in the Era of COVID-19

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