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

Bolshakov, Nikolai; Badenko, Vladimir; Yadykin, Vladimir; Tishchenko, Elena; Rakova, Xeniya; Mohireva, Arina; Kamsky, Vladimir; Barykin, Sergey

doi:10.3390/app13106225

Cited by 6 publications

(4 citation statements)

References 144 publications

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“…Bolshakov, Badenko and Yadykin explore the reliability of industrial integration to provide a digital transformation strategy. The researchers' hypothesis is that "by applying a single standardized approach to digital transformation, companies can achieve greater reliability and sustainability" [11]. The approach is to develop common cross-industry principles that are recommended as a practical guide for enterprises to develop their digitalization strategies.…”

Section: Literature Reviewmentioning

confidence: 99%

Integration as a Driver of Enterprise Sustainability: The Russian Experience

2023

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The current geopolitical map, facing challenges and disruptions to industrial-technological relations, requires transformation the processes of interaction between economic agents and the building of collaborative links through the implementation of ecosystem models. The aim of the article is to assess the resilience of industrial ecosystems by determining the collaborative maturity, resource stability and technological resilience of actors. The article presents a typology of integration forms between industrial enterprises based on symbiotic relationships. The concept of ecosystem symbiosis is introduced. The authors propose a methodology for assessing industrial ecosystem sustainability, distinguished by the approach to the formation of an integral indicator consisting of three components: stability (invulnerability), resilience (reliability) and ecosystem (coherence). The composite index method, fuzzy sets method, preference ordering by similarity to the ideal solution, rank sum method, fuzzy k-means clustering method, least squares method, Gaussian method, and variance and multiple regression analyses were used in developing the methodology for stability assessment. The approach is demonstrated by the example of three industrial ecosystems in the Voronezh, Belgorod and Lipetsk regions of the Russian Federation. As a result of the analysis, it was found that ecosystem’s sustainability was achieved, primarily due to the factors of resilience and reliability, which had the maximum impact on the integrated sustainability indicator. The propositions arising from this analysis provide information on the industrial integrations with the highest and the lowest sustainability, to provide academics, policymakers and industrial enterprises with a more adequate understanding of the practical mechanisms that help trigger sustainable development.

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Section: Literature Reviewmentioning

confidence: 99%

Integration as a Driver of Enterprise Sustainability: The Russian Experience

2023

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“…The advent of the Fourth Industrial Revolution, characterized by the integration of digital technologies and Artificial Intelligence (AI) into the fabric of industrial operations, heralds a transformative era for urban industrial areas [1][2][3][4]. This revolution is not merely about technological advancements but signifies a paradigm shift in how factories operate, interact with urban environments, and contribute to economic and sustainable urban development [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…The digitization of industrial urban areas facilitates a seamless integration of manufacturing systems with digital twins [12,13], Internet of Things (IoT) devices [3,14,15], and smart analytics, enabling real-time monitoring, predictive maintenance, and autonomous decision-making processes. This integration not only optimizes production efficiency but also minimizes environmental footprints, promoting sustainable urban development [4,14,16]. Moreover, the digital transformation of factories paves the way for new business models, work organization, and supply chain management strategies, further contributing to the economic resilience and competitiveness of urban areas [17,18].…”

Section: Introductionmentioning

confidence: 99%

Factories of the Future in Digitization of Industrial Urban Areas

Bolshakov,

Celani,

Badenko

et al. 2024

Urban Science

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This paper delves into the integration of Factories of the Future (FoF) and digital twin technologies within urban contexts, marking a significant leap in Smart Cities development. We present a thorough exploration of the principles and a scientifically grounded framework designed for seamlessly blending advanced manufacturing systems with the urban environment’s digital and physical aspects. Our detailed analysis has identified core principles crucial for this integration, focusing on interoperability, sustainability, adaptability, stakeholder collaboration, and strong data governance. We propose a structured framework that puts these principles into action, outlining strategic routes for incorporating digital twin and Building Information Modeling (BIM) technologies into FoF, establishing public-private partnerships, enhancing education and workforce development, and setting up mechanisms for ongoing evaluation and enhancement. The potential of this integration to transform urban development is vast, providing a model for boosting operational efficiency, driving economic growth, and enhancing urban livability. Although challenges exist in realizing this vision, our research offers practical insights and strategies for cities and industries to effectively navigate the complexities of the digital era. This contribution enriches the growing field of urban science, advocating for a harmonious integration of industrial production with urban development in the Smart Cities framework.

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“…Digital transformation is the process of rewiring the work of an enterprise using the latest digital technologies and solutions to increase the competitiveness of production, manage operations, interact with customers, and create new business models [1,2]. In particular, the digital transformation of the industrial facility infrastructures (IFIs) is an integral part of Industry 4.0 and is critical to their competitiveness [3][4][5]. Therefore, the digital transformation of existing industrial enterprises should include BIM (Building Information Modeling) technology [6].…”

Section: Introductionmentioning

confidence: 99%

Operation Principles of the Industrial Facility Infrastructures Using Building Information Modeling (BIM) Technology in Conjunction with Model-Based System Engineering (MBSE)

Bolshakov,

Rakova,

Celani

et al. 2023

Applied Sciences

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The current industrial facility market necessitates the digitization of both production and infrastructure to ensure compatibility. This digitization is presently accomplished using Building Information Modeling and digital twin technologies, as well as their integrated usage, which enhances convergence and adds further value to facility assets. However, these technologies primarily focus on the physical components of industrial facilities, neglecting processes, requirements, and functions. To address these gaps, the inclusion of the Model-Based System Engineering approach, a proven benchmark in systems engineering, is essential. This inclusion is the main objective of this research. This article outlines methods and principles for integrating Model-Based System Engineering into the informational modeling of existing industrial facilities to address current market gaps. It offers practical steps for such integration and compares it to other methods, positioning Model-Based System Engineering as a pivotal tool for enhancing the value of industrial facility digital assets. The main findings include the proposal of BIM and MBSE integration, which aims to create a competitive advantage for industrial facilities by improving customer service and operational efficiency, requiring collaboration from various stakeholders.

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

Cited by 6 publications

References 144 publications

Integration as a Driver of Enterprise Sustainability: The Russian Experience

Integration as a Driver of Enterprise Sustainability: The Russian Experience

Factories of the Future in Digitization of Industrial Urban Areas

Operation Principles of the Industrial Facility Infrastructures Using Building Information Modeling (BIM) Technology in Conjunction with Model-Based System Engineering (MBSE)

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