Dynamic manufacturing network – from flat semantic graphs to composite models

Tchoffa, David; Figay, Nicolas; Ghodous, Parisa; Expósito, Ernesto; Apedome, Kouami Seli; Mhamedi, Abderrahman El

doi:10.1080/00207543.2019.1570375

Cited by 7 publications

(8 citation statements)

References 11 publications

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“…States of the Practice (SoP) and States of the Art (SoA) performed in [9] and [10] show that no approach addressing the identified needs and solving the identified scientific gap was found. When performed, no formal method was existing that allows modeling DMN interoperability use cases, derived collaboration models and associated testing procedures with the needed test data.…”

Section: The Last Evolution Related To Interoperability Testingmentioning

confidence: 99%

“…Year Contribution to the FIF [23] 2019 This paper addresses some limitation of the EH4I when having to deal with multi-scale models to be used for complex systems of systems. It proposes an innovative approach for extending the FIF, relying on modeling over UML2/SysML and introduces mereotopology.…”

Section: Fif Related Papermentioning

confidence: 99%

“…project [27]. Finally, FIF considers unique features not supported by other interoperability frameworks: the concept of extended hyper model for interoperability [23], the concept of Dynamic Manufacturing Network which was developed within the context of the IMAGINE project [24] and finally the combination of usage of semantic graph (ontology) with mereotopology (i.e. the study of the whole and parts combined with topology), when considering dynamic manufacturing networks as complex SoS with multiple granularities.…”

Section: Flexibilitymentioning

confidence: 99%

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Alignment of the product lifecycle management federated interoperability framework with internet of things and virtual manufacturing

Tchoffa

Figay

Ghodous

et al. 2021

Computers in Industry

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: The Last Evolution Related To Interoperability Testingmentioning

confidence: 99%

Section: Fif Related Papermentioning

confidence: 99%

Section: Flexibilitymentioning

confidence: 99%

See 1 more Smart Citation

Alignment of the product lifecycle management federated interoperability framework with internet of things and virtual manufacturing

Tchoffa

Figay

Ghodous

et al. 2021

Computers in Industry

Self Cite

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“…Airbus Group Innovation (AGI) has put a considerable contribution by developing the Federated Interoperability Framework (FIF) for PLM interoperability. Tchoffa et al 52 however found limitations in the previous approach of semantic graphs used in the framework of AGI to address the semantics of PLM. To resolve this, they extended this work with a new approach for composite modeling based on UML2/SysML.…”

Section: Technologymentioning

confidence: 99%

Model-Based Definition and Enterprise: State-of-the-art and future trends

Goher

Shehab

Al-Ashaab

2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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Model-Based Definition (MBD) is being adopted by the manufacturing industry as a single source for all product information in place of conventional 2D drawings. This paper aims to review the current literature on Model-Based Definition (MBD) and Model-Based Enterprise (MBE) to recognize the main contributions towards the development and implementation of MBD and explore its various perspectives. The publications encompassing technology and applications of MBD are categorized into seven domains. These domains are lifecycle information; design, discrete part manufacturing, and inspection; assembly; maintenance, repair, and overhaul; process planning; engineering change management; and contemporary aspects of digital product definition. The major outcomes of research literature, in these domains, are reviewed and future research directions are identified and formulated. Additionally, the paper highlights the issues and challenges associated with the realization of MBE by the manufacturing industry. These issues are categorized into technical, management, and certification categories. The prevalent issues in each of these categories are further discussed and analyzed.

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“…As Figure 1 shows, Industry 4.0 technologies offer new innovation accelerators, like augmented and virtual reality, cloud and fog computing related to big data problems, additive manufacturing, Internet of Thing (IoT), autonomous standardized production and material handling resources, smart tools, gentelligent products, simulation and digital twin solutions, cyber security, and system integration. These Industry 4.0 technologies are important influencing factors for manufacturing processes [1,2] and they lead to the appearance of dynamic manufacturing networks [3].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Material Supply in Smart Manufacturing Environment: A Metaheuristic Approach for Matrix Production

Bányai

2021

Machines

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In the context of Industry 4.0, the matrix production developed by KUKA robotics represents a revolutionary solution for flexible manufacturing systems. Because of the adaptable and flexible manufacturing and material handling solutions, the design and control of these processes require new models and methods, especially from a real-time control point of view. Within the frame of this article, a new real-time optimization algorithm for in-plant material supply of smart manufacturing is proposed. After a systematic literature review, this paper describes a possible structure of the in-plant supply in matrix production environment. The mathematical model of the mentioned matrix production system is defined. The optimization problem of the described model is an integrated routing and scheduling problem, which is an NP-hard problem. The integrated routing and scheduling problem are solved with a hybrid multi-phase black hole and flower pollination-based metaheuristic algorithm. The computational results focusing on clustering and routing problems validate the model and evaluate its performance. The case studies show that matrix production is a suitable solution for smart manufacturing.

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Dynamic manufacturing network – from flat semantic graphs to composite models

Cited by 7 publications

References 11 publications

Alignment of the product lifecycle management federated interoperability framework with internet of things and virtual manufacturing

Alignment of the product lifecycle management federated interoperability framework with internet of things and virtual manufacturing

Model-Based Definition and Enterprise: State-of-the-art and future trends

Optimization of Material Supply in Smart Manufacturing Environment: A Metaheuristic Approach for Matrix Production

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