A Review on Application of Model Based Systems Engineering to Manufacturing and Production Engineering Systems

Akundi, Aditya; Lopez, Viviana

doi:10.1016/j.procs.2021.05.011

Cited by 29 publications

(18 citation statements)

References 24 publications

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“…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. their interfacing and information models, as well as their integration and (re)configuration are the prime Industry 4.0 concerns tended to by MBSE.…”

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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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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“…MBSE is precisely the application of modern complex systems thinking. It is based on recent computer and information technology, using multiple model views to build, check and manage system elements and the complexity between them [9]. And the SysML modelling language provides a unified modelling paradigm for multiple technical domains such as software, hardware, test, security and reliability, etc.…”

Section: The Advantage Analysis Of Mbse From the View Of Human Thinki...mentioning

confidence: 99%

Advantage Analysis of MBSE in the Context of Multi-Historical Development Trends

Guo¹,

She²,

Zhao³

et al. 2022

Frontiers in Artificial Intelligence and Applications

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Since INCOSE first proposed the Model-based System Engineering (MBSE) road map in 2007, the concept of MBSE has been well known, but the application results of MBSE in many companies have not been satisfactory. The implementation of MBSE is a considerable investment, including learning the top-level MBSE processes and the three pillars of MBSE, including the language, tool and methodology. The lack of understanding of MBSE’s advantages makes it difficult for many complex equipment development enterprises to invest enormous time and economic costs to implement MBSE. In this paper, the advantages of MBSE are discussed in three developing trends, including written ideograms, human-machine communication language and human thinking. This is the first time to discuss the progressiveness of MBSE from these different views, which can help enterprises dispel the concerns about MBSE implementation and strengthen their confidence in MBSE’s full implementation.

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“…From Table 3, we can see that the three modelling tools are mainly different in the model languages; MagicDraw and Rhapsody use the SysML, while Capella uses a unique domain model language. And the three tools have different simulation abilities [6]. MagicDraw is an expert in simulation, Capella has no power to simulate, and Rhapsody has a different simulation model, converting the model to C++ code.…”

Section: Analysis Of Corresponding Mbse Toolsmentioning

confidence: 99%

Analysis of the Mainstream MBSE Methodologies from the Modeling Practice View

Guo¹,

Zhao²,

Qi³

et al. 2022

Frontiers in Artificial Intelligence and Applications

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Model-based System Engineering (MBSE) is proved an effective way to develop complex systems, and lots of MBSE methods/tools have been developed in recent years. Lack of deep analysis of mainstream MBSE methods/tools and guidance in performing MBSE under the general SE process leads to a rough patch for design staff to transform from document-based system engineering to model-based system engineering. In this paper, step-by-step modelling practice following the official tutorials is performed to analyze MagicGrid (MagicDraw), ARCADIA (Capella), and HarmonySE (Rhapsody). This is the first time to analyse the mainstream MBSE methodolgies from the uniform INCOSE SE practice view and compare the method and modeling tool differences. These will provide a detailed guide for the engineers to transform from document-based system engineering to model-based system engineering.

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A Review on Application of Model Based Systems Engineering to Manufacturing and Production Engineering Systems

Cited by 29 publications

References 24 publications

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

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

Advantage Analysis of MBSE in the Context of Multi-Historical Development Trends

Analysis of the Mainstream MBSE Methodologies from the Modeling Practice View

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