Decisional DNA Based Conceptual Framework for Smart Manufacturing

Syed Imran Shafiq; Cesar Sanin; Edward Szczerbicki; Carlos Toro

doi:10.1007/978-3-319-28555-9_7

Decisional DNA Based Conceptual Framework for Smart Manufacturing

Syed Imran Shafiq
, Cesar Sanin
, Edward Szczerbicki
, Carlos Toro

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Advances in Intelligent Systems and Computing
Editors	Leszek Borzemski , Adam Grzech Jerzy Świątek, Zofia Wilimowska
Place of Publication	Germany
Publisher	Springer, Cham
Pages	79-88
Volume	429
ISBN (Print)	9783319285559, 9783319285535
DOIs	https://doi.org/10.1007/978-3-319-28555-9_7
Publication status	Published - 24 Feb 2016
Event	ISAT2015: 36th International Conference on Information Systems Architecture and Technology-20th - 22th September, 2015 - Karpacz, Karpacz, Poland Duration: 20 Sept 2015 → 22 Sept 2015

Conference

Conference	ISAT2015: 36th International Conference on Information Systems Architecture and Technology-20th - 22th September, 2015
City	Karpacz, Poland
Period	20/09/15 → 22/09/15

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10.1007/978-3-319-28555-9_7

https://hdl.handle.net/1959.11/61869

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Cite this

@inproceedings{81f9c12bba1d47489e1e3766ffa1c1ac,

title = "Decisional DNA Based Conceptual Framework for Smart Manufacturing",

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.",

author = "Shafiq, \{Syed Imran\} and Cesar Sanin and Edward Szczerbicki and Carlos Toro",

year = "2016",

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booktitle = "Advances in Intelligent Systems and Computing",

publisher = "Springer, Cham",

note = "ISAT2015: 36th International Conference on Information Systems Architecture and Technology-20th - 22th September, 2015 ; Conference date: 20-09-2015 Through 22-09-2015",

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Shafiq, SI, Sanin, C, Szczerbicki, E & Toro, C 2016, Decisional DNA Based Conceptual Framework for Smart Manufacturing. in LB, AGJ Świątek & Z Wilimowska (eds), Advances in Intelligent Systems and Computing. vol. 429, Springer, Cham, Germany, pp. 79-88, ISAT2015: 36th International Conference on Information Systems Architecture and Technology-20th - 22th September, 2015, Karpacz, Poland, 20/09/15. https://doi.org/10.1007/978-3-319-28555-9_7

Decisional DNA Based Conceptual Framework for Smart Manufacturing. / Shafiq, Syed Imran; Sanin, Cesar; Szczerbicki, Edward et al.
Advances in Intelligent Systems and Computing. ed. / Leszek Borzemski; Adam Grzech Jerzy Świątek; Zofia Wilimowska. Vol. 429 Germany: Springer, Cham, 2016. p. 79-88.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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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ER -

Decisional DNA Based Conceptual Framework for Smart Manufacturing

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