Industrial Design and Development Software System Architecture Based on Model-Based Systems Engineering and Cloud Computing

Yu, Chao; Li, Qing; Liu, Kui; Chen, Yuwen; Wei, Hang

doi:10.1016/j.arcontrol.2021.04.011

Cited by 14 publications

(9 citation statements)

References 80 publications

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“…This can be achieved using matrices in the MBSE approach [90] and multicriteria analyses of the significance of the components and their relationships. Therefore, information and data must be convertible [52,64,65,73,[95][96][97][98][99][100][101][102] when moving from one industry or system to another. This can be achieved through the use of a single modeling language or common standards for all components, as well as through a meta-model, which, in this case, is a "model of a model" that maps heterogeneous lower-level models through a single higher-level model.…”

Section: Resultsmentioning

confidence: 99%

“…One of the main principles of the application of MBSE, which also provides interoperability, is the principle of subjectivity (context) [34,81,94,96,99,[122][123][124][125]. Following this principle, a complex technical system is modeled, developed, and used in different contexts from different points of view with respect to specific tasks and industries.…”

Section: Resultsmentioning

confidence: 99%

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Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Bolshakov,

Badenko,

Yadykin

et al. 2023

Applied Sciences

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This scientific article discusses the process of digital transformation of enterprises, analyzed as complex technical systems. Digital transformation is essential for businesses to remain competitive in the global marketplace. One of the effective tools for such a transformation is model-based systems engineering (MBSE). However, there is a gap in the practical application of knowledge regarding the uniform principles for the formation of a digital representation of complex technical systems, which limits the realization of the cross-industry potential of digital transformation in the economy. The motivation for this study is to identify common cross-industry principles for the formation of digital representations of complex technical systems that can lead companies to a sustainable and successful digital transformation. The purpose of this work is to identify and formulate these principles through an analysis of publications, using an inductive approach and classifying them by the category of application. As a result of the study, 23 principles were obtained, and the degree of their use in various industries associated with complex technical systems was determined. The results of this study will help to solve the problem of cross-industry integration and guide systemic changes in the organization of enterprises during their digital transformation.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Bolshakov,

Badenko,

Yadykin

et al. 2023

Applied Sciences

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“…The next problem regarding the CPS architecture is connected with the requirements for cloud computing implementation. The cloud-based CPS are investigated in works [ 271 , 272 , 273 , 274 , 275 ]. In work [ 271 ], the authors focus on cloud-based applications in the context of data sharing and computing resource availability.…”

Section: Systematic Literature Review Of the Selected Papers Within T...mentioning

confidence: 99%

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Werbińska-Wojciechowska

Winiarska

2023

Sensors

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Recently, there has been a growing interest in issues related to maintenance performance management, which is confirmed by a significant number of publications and reports devoted to these problems. However, theoretical and application studies indicate a lack of research on the systematic literature reviews and surveys of studies that would focus on the evolution of Industry 4.0 technologies used in the maintenance area in a cross-sectional manner. Therefore, the paper reviews the existing literature to present an up-to-date and content-relevant analysis in this field. The proposed methodology includes bibliometric performance analysis and a review of the systematic literature. First, the general bibliometric analysis was conducted based on the literature in Scopus and Web of Science databases. Later, the systematic search was performed using the Primo multi-search tool following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The main inclusion criteria included the publication dates (studies published from 2012–2022), studies published in English, and studies found in the selected databases. In addition, the authors focused on research work within the scope of the Maintenance 4.0 study. Therefore, papers within the following research fields were selected: (a) augmented reality, (b) virtual reality, (c) system architecture, (d) data-driven decision, (e) Operator 4.0, and (f) cybersecurity. This resulted in the selection of the 214 most relevant papers in the investigated area. Finally, the selected articles in this review were categorized into five groups: (1) Data-driven decision-making in Maintenance 4.0, (2) Operator 4.0, (3) Virtual and Augmented reality in maintenance, 4) Maintenance system architecture, and 5) Cybersecurity in maintenance. The obtained results have led the authors to specify the main research problems and trends related to the analyzed area and to identify the main research gaps for future investigation from academic and engineering perspectives.

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“…There is an apparent demand for CAD/CAE tools with built-in collaboration features, as evidenced by the emergence of new CAD/CAE tools that are designed specifically for collaboration, many of them being cloud-based [5]. However, there are some challenges to transitioning to these new CAD/CAE tools.…”

Section: Introductionmentioning

confidence: 99%

How Can XR Enhance Collaboration with CAD/CAE Tools in Remote Design Reviews?

Garcia Rivera,

Rostami,

Mattsson

et al. 2024

Advances in Transdisciplinary Engineering

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This study studies the challenges of effective communication and collaboration in remote design review meetings (DRMs) and explores the potential of Extended Reality (XR) technologies to address these challenges. The research focuses on identifying recurring communication issues and the preferences of companies within the context of remote DRMs. The study involves qualitative content analysis and industry workshops to uncover the current problems with conventional approaches and the aspirations of companies regarding improved collaboration in the DRM process. Drawing upon the insights gathered from both the workshop and design review observations, this paper highlights the features that are critical for collaborative software to handle online design reviews. XR technologies offer immersive and interactive experiences that can transform communication and collaboration in the context of DRMs. By identifying the specific challenges faced in remote DRMs and understanding the desires of companies, this study sets the stage for a more efficient and effective collaborative process. It emphasizes the adaptability of XR technologies to meet industry needs and integrate seamlessly into existing workflows. The study concludes by highlighting the potential for XR technologies to enhance collaboration in DRMs, making them a valuable tool for various industries.

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Industrial Design and Development Software System Architecture Based on Model-Based Systems Engineering and Cloud Computing

Cited by 14 publications

References 80 publications

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

How Can XR Enhance Collaboration with CAD/CAE Tools in Remote Design Reviews?

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