Closed-Loop Systems Engineering—Supporting Smart System Design Adaption by Integrating MBSE and IoT

Dickopf, Thomas; Forte, Sven; Apostolov, Christo; Göbel, Jens Christian

doi:10.1007/978-3-030-73539-5_16

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…Additionally, it assists development teams express design purpose, comprehend the effects of design changes, and evaluate a system design prior to construction. Different engineering domains have successfully used MBSE to develop complex systems; for example, for mission engineering [12], Cyber-physical Systems (CPS), [13], [14], System of Systems (SoS) [15], [16], digital twins [17], and IoT systems [18], [19]. The maturity of design and development methodologies of IoT systems has a considerable impact on the pervasive use of their applications.…”

Section: Introductionmentioning

confidence: 99%

Model-Based System Engineering of the Internet of Things: A Bibliometric Literature Analysis

Ahmad

2023

IEEE Access

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Model-based System Engineering (MBSE) of the Internet of Things (IoT) literature is broad, and analysis of this literature enables the identification of themes and potential future study topics that will influence system development. This paper reports on bibliometric literature analysis of MBSE of IoT. It considers conference and journal publication trends in the state-of-the-art to identify emerging research themes from the standpoint of trans/multi-disciplinary scholarship and technology. We used Elsevier's Scopus database to find relevant publications from January 2018 to December 2022. Using publication citation ranking and other factors (e.g., publication venues), we selected 110 articles and then analyzed them using BibExcel and VOSviewer software tools. With a modest decline in 2021, this analysis shows an overall increase in publications during the time period. A thematic analysis of the abstracts revealed a strong focus on the introduction of reference architectures and integration of MBSE with business and management methodologies like Agile and BPMN 2.0. Model-driven engineering and machine learning techniques are essential among the enablers for realization of complex heterogeneous IoT systems in the realm of Industry 4.0. We highlight these findings to better understand and meet the enduring challenge of scaling MBSE of IoT across diverse sectors like health, manufacturing, and transportation.INDEX TERMS BibExcel, bibliometrics, Internet of Things, industry 4.0, model-based system engineering, model-driven engineering, thematic analysis, VOSviewer.

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Section: Introductionmentioning

confidence: 99%

Model-Based System Engineering of the Internet of Things: A Bibliometric Literature Analysis

Ahmad

2023

IEEE Access

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“…While data of the operation phase is collected and processed in so-called Internet-of-Things systems (IoT), targeted feedback and processing into the planning and design phase and the Product Lifecycle Management system (PLM) used there have only taken place in the rudimentary form (Dienst, 2014). Alternatively, they are only conceptually described and prototypically applied in academic research (Kiritsis, 2011;Dickopf et al, 2019;Dickopf, 2020;Dickopf, 2021). The coupling of machine-related IoT platforms and PLM systems is thus another challenge that must be solved both technically and, above all, methodically.…”

Section: Introductionmentioning

confidence: 99%

Closed-Loop Engineering Approach for Data-Driven Product Planning

Dickopf

Apostolov

2022

Proc. Des. Soc.

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This contribution introduces an approach for data-driven optimization of products and their product generations through a Closed-Loop Engineering approach resulting from the German research project DizRuPt. The approach focuses on data-driven product planning by ensuring data consistency and traceability between product planning, product development, and product operation by combining aspects and functions from Product Lifecycle Management (PLM) and the Internet of Things (IoT). The presented approach is illustrated and validated by pilot applications from the research project.

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Enhancing Product Test Management by Using Digital Twins for Device Under Test Analysis

Savarino

Dickopf

2022

Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations

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Closed-Loop Systems Engineering—Supporting Smart System Design Adaption by Integrating MBSE and IoT

Cited by 5 publications

References 17 publications

Model-Based System Engineering of the Internet of Things: A Bibliometric Literature Analysis

Model-Based System Engineering of the Internet of Things: A Bibliometric Literature Analysis

Closed-Loop Engineering Approach for Data-Driven Product Planning

Enhancing Product Test Management by Using Digital Twins for Device Under Test Analysis

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