Use of Model-Based System Engineering methodology and tools for disruption analysis of supply chains: A case in semiconductor manufacturing

Mousavi, Behrouz Alizadeh; Heavey, Cathal; Azzouz, Radhia; Ehm, Hans; Millauer, Chirine; Knobloch, Randolph

doi:10.1016/j.jii.2022.100335

Cited by 15 publications

(4 citation statements)

References 28 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%

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%

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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“…Even if the MBSE approach in the field of sharing concepts has not yet found strong acceptance, there is ongoing research dealing with the topic of MBSE in the technical/logistical domain. The use of MBSE in logistics extends from warehouse design [35] over supply chain analysis [36,37] to digital twin design [38,39]. Of particular interest is [40], which investigates a model-driven approach to integrating simulation and optimisation methods by exchanging system designs.…”

Section: Methodical Approach To the Development Of Sharing Conceptsmentioning

confidence: 99%

Development of a Sharing Concept for Industrial Compost Turners Using Model-Based Systems Engineering, under Consideration of Technical and Logistical Aspects

2022

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The trend of sharing concepts is constantly increasing, whether this may be for economic or environmental reasons. Consequently, numerous scientific research works have addressed the subject of sharing concepts. Many of these works have dealt with questions on the topic of sharing concepts itself, however, much less research has been dedicated to the question of how the sharing concept can be developed in the very first place. Thus, the purpose of this work was to systematically use systems engineering methods to develop a sharing concept for heavy-duty agricultural vehicles, while having a strong focus on technical and logistical aspects. Due to the multidisciplinary complexity of the sharing concept, a method from the field of model-based systems engineering, ARCADIA, was chosen. On ARCADIA’s top level, operational analysis was carried out to identify the key stakeholders. The next level, systems analysis, showed that the sharing model can be divided into three main processes: (1) data acquisition and preparation; (2) location planning; (3) and route planning. For these main processes, corresponding methods, algorithms and models were sought and compared against each other in the last level, logical analysis. It can be concluded that the ARCADIA method has provided a framework for evaluating the correlations and interrelationships between methods, algorithms and models at different levels to develop a sharing concept for compost turners from a technical perspective.

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“…For effectively building Industry 4.0 frameworks, the MBSE community plays a pivotal part by empowering the previously mentioned plan standards. Modelbased framework designs have appeared to encourage the improvement of such frameworks, but their application to Industry 4.0 has not been efficiently explored [128]. To comprehend the commitment of MBSE to Industry 4.0, precise mapping has been conducted in [30,[129][130], which uncovered that computerized representation of robotized frameworks, i.e.…”

Section: Model-based System Engineering (Mbse)mentioning

confidence: 99%

Modeling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities

Alquraish

2022

Eng. Technol. Appl. Sci. Res.

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Manufacturing is an important part of the modern economy. It is characterized by complexity in terms of systems, approaches, and interactions with intrinsic and extrinsic factors. Numerous efforts have been developed to use modeling and simulation tools to improve manufacturing efficiency and productivity and to achieve maximum quality, especially with the different mutations in the factories of today. This paper reviews the conventional and modern tools used in manufacturing system design and production improvement. Challenges that need to be addressed by the simulation community are discussed in depth. Finally, the evolution, advances, current practices, and future opportunities are discussed in the context of the contemporary manufacturing industry.

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Use of Model-Based System Engineering methodology and tools for disruption analysis of supply chains: A case in semiconductor manufacturing

Cited by 15 publications

References 28 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

Development of a Sharing Concept for Industrial Compost Turners Using Model-Based Systems Engineering, under Consideration of Technical and Logistical Aspects

Modeling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities

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