Motivations, Background and Introduction to Arcadia

Voirin, Jean‐Luc

doi:10.1016/b978-1-78548-169-7.50001-9

Cited by 10 publications

(14 citation statements)

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“…One tool is Capella, which is implemented mainly based on SysML. It is specifically developed for systems architecting and includes the modeling methodology ARCADIA (Nowodzienski et al, 2022;Voirin, 2018). Based on ARCADIA, Capella provides user with modeling guidance.…”

Section: Common Modeling Languages and Tools For Systems Architectingmentioning

confidence: 99%

Model‐based Framework for Data and Knowledge‐Driven Systems Architecting Demonstrated on a Hydrogen‐Powered Concept Aircraft

Kuelper,

Bielsky,

Broehan

et al. 2023

INCOSE International Symp

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Aircraft development is a protracted process over many years. Novel concept aircraft with new energy sources and disruptive systems technologies are investigated during the aircraft conceptual design phase with the goal to achieve sustainable aviation. Current development cycles need to be accelerated to reduce time to market and development costs of novel aircraft, while still handling complexity and uncertainty of systems technologies. Therefore, a holistic framework for knowledge‐based systems architecting using a model‐based systems engineering approach is presented. This framework has the purpose to conserve and provide knowledge, i.e., information, data, and experiences about existing systems architectures, to the engineer. The developed framework consists of a database concept, a method for model‐based systems architecting, and an interface to the overall systems design software tool GeneSys. Based on evaluating different modeling languages and tools, MathWorks System Composer is selected as most suitable tool for knowledge‐based systems architecting. The developed framework is then demonstrated by conserving and reusing formalized knowledge for the design of a novel hydrogen‐powered concept aircraft. On‐board systems architecture models are saved in a database and automatically recreated reducing development time. The complete graphical representation could not yet be stored in a formalized manner partly reducing the advantage of a clear representation of model‐based systems architecting. However, this did not reduce automatic recreation and evaluation capabilities.

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Section: Common Modeling Languages and Tools For Systems Architectingmentioning

confidence: 99%

Model‐based Framework for Data and Knowledge‐Driven Systems Architecting Demonstrated on a Hydrogen‐Powered Concept Aircraft

Kuelper,

Bielsky,

Broehan

et al. 2023

INCOSE International Symp

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“…Architecture Analysis & Design Integrated Approach (ARCADIA) is a system and software architecture engineering method, based on architecture-centric and model-driven engineering activities (Voirin 2017). The Arcadia method shown in Figure 5 (a) provides a layered approach to modeling multiple levels of vehicle architecture at varying layers of abstraction, mainly operational needs analysis (OA), system analysis (SA), logical architecture (LA) and physical architecture (PA), which is then orchestrated across engineering domains through an MBSE orchestration platform.…”

Section: Figure 4 Mbse Process Elementsmentioning

confidence: 99%

Applying a System of Systems Perspective to Hyundai‐Kia's Virtual Tire Development

Yun,

Alai,

Kim

et al. 2023

INCOSE International Symp

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Systems engineering has become important in almost every complex product manufacturing industry, especially automotive. Emerging trends like vehicle electrification and autonomous driving now pose a System of Systems (SoS) engineering challenge to automotive OEMs. This paper presents a proof‐of‐concept (PoC) that applies a top‐down SoS perspective to Hyundai‐Kia Motor Corporation's (HKMC) virtual product development process to develop a performance‐critical component of the vehicle, the tire. The PoC demonstrates using the Arcadia MBSE method to develop a consistent, layered, vehicle architecture model starting from the SoS operational context down to the lowest level of system decomposition in the physical architecture thereby capturing top‐down knowledge traceability. Using the concept of functional chains, several vehicle performance views are captured that serve as the basis for architecture verification orchestration across engineering domains using a cross‐domain orchestration platform thereby validating key vehicle/tire performance metrics that influence the tire design parameters. Preliminary results of the study show that applying a method‐based modeling approach could provide several benefits to HKMC's current product development approach such as reduced time to model, SoS knowledge capture and reusability, parameter/requirement traceability, early performance verification, and effective systems engineering collaboration between the OEM, tire design supplier and tire manufacturers.

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“…Figure 3: Industrial and institutional architecture frameworks [10], [11] Airbus also analyzed other architecture frameworks, which are rather industry or research institute driven like the CESAMES system architecture framework [10] and the ARCADIA [11] framework running on Capella toolset (see figure 3). Here Airbus analyses found better support for the design phases of systems and subsystems with appropriate data objects distinguishing between logical and physical elements and also methods available.…”

Section: Problem Analysis and Literature Reviewmentioning

confidence: 99%

“…Figure 14 : Recursive MDA Principles for Digital Continuity in Extended Enterprise As illustrated in figure 14, DDMS (Digital Design, Manufacturing & Services) MBSE Framework is currently working on the mapping between SECAM (Airbus MBSE SysML Profile -Catia Magic) & Arcadia[11] (Capella) but also with RFLP[24] (3DX Platform) .…”

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confidence: 99%