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Decisional DNA Based Conceptual Framework for Smart Manufacturing

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Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part I

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 429))

Abstract

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.

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Author information

Authors and Affiliations

  1. The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia

    Syed Imran Shafiq & Cesar Sanin

  2. Gdansk University of Technology, Gdansk, Poland

    Edward Szczerbicki

  3. Vicomtech-IK4, San Sebastian, Spain

    Carlos Toro

Authors
  1. Syed Imran Shafiq
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  2. Cesar Sanin
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  3. Edward Szczerbicki
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  4. Carlos Toro
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Corresponding author

Correspondence to Syed Imran Shafiq .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocła, Wroclaw, Poland

    Leszek Borzemski

  2. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocła, Wroclaw, Poland

    Adam Grzech

  3. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocła, Wrocław, Poland

    Jerzy Świątek

  4. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocła, Wrocław, Poland

    Zofia Wilimowska

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Shafiq, S.I., Sanin, C., Szczerbicki, E., Toro, C. (2016). Decisional DNA Based Conceptual Framework for Smart Manufacturing. In: Borzemski, L., Grzech, A., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part I. Advances in Intelligent Systems and Computing, vol 429. Springer, Cham. https://doi.org/10.1007/978-3-319-28555-9_7

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  • DOI: https://doi.org/10.1007/978-3-319-28555-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28553-5

  • Online ISBN: 978-3-319-28555-9

  • eBook Packages: EngineeringEngineering (R0)

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