4.5 Article

Using the ARCADIA/Capella Systems Engineering Method and Tool to Design Manufacturing Systems-Case Study and Industrial Feedback

Journal

SYSTEMS
Volume 11, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/systems11080429

Keywords

model-based systems engineering; modeling methods; MBSE tools; ARCADIA; Capella

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This paper analyzes the interests and limitations of ARCADIA/Capella by experimenting with it in several projects and conducting a survey to obtain industrial feedback. The research provides an overview of the relevance of ARCADIA/Capella in projects and its usefulness, effectiveness, and adaptability in modeling different types of systems. It also offers perspectives for the evolution of the method and the tool based on industrial feedback.
In a trend towards digital continuity, model-based systems engineering is becoming widely adopted for the design of complex systems, supporting system development from the very first stages. A narrow panel of methods and tools are available on the market; they offer different scopes and approaches, are more or less intuitive to follow, and are sometimes supported by tools. Among them, the Architecture Analysis & Design Integrated Approach (ARCADIA) is becoming popular and is gradually spreading in different industrial fields to model a wide variety of systems at different stages of their development and from different points of view. It is implemented using an open-source tool called Capella. Few feedback on its use in industrial settings have been published, while other feedback remains confidential. The goal of this paper is to analyze the interests and limitations of ARCADIA/Capella. To reach this goal, we experimented with ARCADIA/Capella in several projects and chose one to explain how the method and tool proceeded. In addition, we conducted a survey to obtain industrial feedback. As a result, the paper gives an overview of the relevance of ARCADIA/Capella in projects and of its usefulness, effectiveness, and adaptability in modeling different types of systems. It also provides some perspectives for the evolution of the method and the tool according to industrial feedback.

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