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Abstrakt
ABSTRACT Industry 4.0 aims at providing a digital representation of a production landscape, but the challenges in building, maintaining, optimizing, and evolving digital models in inter-organizational production chains have not been identified yet in a systematic manner. In this paper, various Industry 4.0 research and technical challenges are addressed, and their present scenario is discussed. Moreover, in this article, the novel concept of developing experience-based virtual models of engineering entities, process, and the factory is presented. These models of production units, processes, and procedures are accomplished by virtual engineering object (VEO), virtual engineering process (VEP), and virtual engineering factory (VEF), using the knowledge representation technique of Decisional DNA. This blend of the virtual and physical domains permits monitoring of systems and analysis of data to foresee problems before they occur, develop new opportunities, prevent downtime, and even plan for the future by using simulations. Furthermore, the proposed virtual model concept not only has the capability of Query Processing and Data Integration for Industrial Data but also real-time visualization of data stream processing.
Cytowania
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6
CrossRef
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0
Web of Science
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1 1
Scopus
Autorzy (3)
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Syed Imran Shafiq
- Aligarh, India Mechanical Engineering
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Cesar Sanin
- University of Newcastle, Australia School of Engineering
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Edward Szczerbicki prof. dr hab. inż.
Cytuj jako
Pełna treść
- Wersja publikacji
- Accepted albo Published Version
- Licencja
- Copyright (2020 Taylor & Francis Group, LLC)
Słowa kluczowe
Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach
- Opublikowano w:
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CYBERNETICS AND SYSTEMS
nr 51,
strony 84 - 102,
ISSN: 0196-9722 - Język:
- angielski
- Rok wydania:
- 2020
- Opis bibliograficzny:
- Shafiq S., Sanin C., Szczerbicki E.: Knowledge-Based Virtual Modeling and Simulation of Manufacturing Processes for Industry 4.0// CYBERNETICS AND SYSTEMS -Vol. 51,iss. 2 (2020), s.84-102
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1080/01969722.2019.1705546
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 167 razy
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