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Abstrakt
This paper presents the conceptual framework for systematic knowledge representation, storage and reuse of manufacturing information in a production scenario. This knowledge structure is designed for three levels in a manufacturing set up viz. first at the engineering objects level, second at process and finally at factory level. Virtual engineering object (VEO) deals with knowledge at the individual object/component/machine level while Virtual engineering process (VEP) represents knowledge at the process/operations level. Implementation of VEO and VEP has been already been done. This article proposes the integrated concept and architecture at facility/factory level and we termed it as Virtual Engineering Factory (VEF). It provides access to the complete production history of the factory, which is useful for decision-making activities. Moreover, we propose combined architecture for the extraction of the knowledge from different levels of manufacturing through VEF, VEP and VEO.
Cytowania
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3
CrossRef
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0
Web of Science
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7
Scopus
Autorzy (4)
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Syed Imran Shafiq
- University of Newcastle School of Engineering
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Cesar Sanin
- University of Newcastle School of Engineering
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Edward Szczerbicki prof. dr hab. inż.
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Carlos Toro
- VicomTech research Institute VicomTech Research Institute
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Informacje szczegółowe
- Kategoria:
- Aktywność konferencyjna
- Typ:
- materiały konferencyjne indeksowane w Web of Science
- Opublikowano w:
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Advances in Intelligent Systems and Computing
nr 429,
strony 79 - 88,
ISSN: 2194-5357 - Tytuł wydania:
- Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part I strony 79 - 88
- Język:
- angielski
- Rok wydania:
- 2016
- Opis bibliograficzny:
- Shafiq S., Sanin C., Szczerbicki E., Toro C..: Decisional DNA Based Conceptual Framework for Smart Manufacturing, W: Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part I, 2016, Springer,.
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1007/978-3-319-28555-9_7
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 133 razy
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