Design process for system of systems reconfigurations

Petitdemange, Franck; Borne, Isabelle; Buisson, Jean

doi:10.1002/sys.21567

Cited by 8 publications

(3 citation statements)

References 25 publications

(49 reference statements)

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“…Reconfiguration: Transcending configuration, reconfiguration [53] supports new ways or a different form of combination or arrangement of constituent techniques, methods, or parts. Reconfiguration may involve different roles, capabilities, techniques, processes, or systems.…”

Section: Trans-ai/ds Mechanismsmentioning

confidence: 99%

Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science

Cao

2023

Int J Data Sci Anal

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After the many ups and downs over the past 70 years of AI and 50 years of data science (DS), AI/DS have migrated into their new age. This new-generation AI/DS build on the consilience and universology of science, technology and engineering. In particular, it synergizes AI and data science, inspiring Trans-AI/DS (i.e., Trans-AI, Trans-DS and their hybridization) thinking, vision, paradigms, approaches and practices. Trans-AI/DS feature their transformative (or transformational), transdisciplinary, and translational AI/DS in terms of thinking, paradigms, methodologies, technologies, engineering, and practices. Here, we discuss these important paradigm shifts and directions. Trans-AI/DS encourage big and outside-the-box thinking beyond the classic AI, data-driven, model-based, statistical, shallow and deep learning hypotheses, methodologies and developments. They pursue foundational and original AI/DS thinking, theories and practices from the essence of intelligences and complexities inherent in humans, nature, society, and their creations.

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Section: Trans-ai/ds Mechanismsmentioning

confidence: 99%

Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science

Cao

2023

Int J Data Sci Anal

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“…Optimizing configurations in terms of capabilities and available resources is needed to cope with environment or mission evolutions. Therefore, the goal of reconfiguration is to identify the best configuration that fulfills the system mission as evolutions occur 7 . In this context, reconfiguration allows for system performance, effectiveness, and affordability improvement to ensure an increased reliability, availability, maintainability, testability, safety, reusability, and reuse of system entities and technologies 1…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the goal of reconfiguration is to identify the best configuration that fulfills the system mission as evolutions occur. 7 In this context, reconfiguration allows for system performance, effectiveness, and affordability improvement to ensure an increased reliability, availability, maintainability, testability, safety, reusability, and reuse of system entities and technologies. 1 Supporting system reconfiguration in industry still remains a challenge.…”

Section: Introductionmentioning

confidence: 99%

System reconfiguration ontology to support model‐based systems engineering: Approach linking design and operations

Qasim

Hein

Olaru

et al. 2023

Systems Engineering

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System reconfiguration is essential in complex systems management, as it is an enabler of system flexibility and adaptability. It ensures system operation and increases reliability, availability, maintainability, testability, safety, and reuse of system entities and technologies. For the reconfiguration of a system in use, it is necessary to assess, in continuity, the system's state with regard to its context. Identifying data supporting system reconfiguration represents a major industrial challenge and is linked directly to the development of industrial reconfiguration tools. Reconfiguration tools are based on a data model, also called ontology, which represents key concepts of system reconfiguration and their relationships. A particular difficulty of developing the data model is the multi-domain nature of reconfiguration. Furthermore, it needs to address a considerable diversity of system types. Few publications propose an ontology supporting data identification and tool development for the entire process. Hence, in this paper we propose to formalize the system reconfiguration process and propose an overarching ontology, which we call OSysRec. This ontology considers data at the management, dynamics, and structure level. The proposed ontology has been developed based upon expert knowledge and several industrial uses cases. The OSysRec ontology allowed a better understanding of the reconfiguration process, and hence it can be deployed for developing efficient and effective reconfiguration tools at the industrial scale. The ontology has been tested on an industrial case study to validate the proposed approach.

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Strategic Planning in the Digital Engineering of Smart Product-Based System of Systems Reconfiguration

Forte

Weber

Göbel

2023

IFIP Advances in Information and Communication Technology

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Design process for system of systems reconfigurations

Cited by 8 publications

References 25 publications

Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science

Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science

System reconfiguration ontology to support model‐based systems engineering: Approach linking design and operations

Strategic Planning in the Digital Engineering of Smart Product-Based System of Systems Reconfiguration

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