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Intelligent Agent System to Analysis Manufacturing Process Models

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Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 451))

Abstract

Business process and workflows represent diagrams as Business Process Model Language (BPML), Unified Model Language (UML), which may contain errors made by a designer. In order to check that errors, we developed a new grammar (called RV-grammar) that allows us to increase quality of business process management and workflow systems by 20 % oppositely with a reserved graph grammar, a positional grammar, and a relational grammar. Thus, we propose an intelligent agent system based on RV-grammar to analysis business-process models for manufacturing. The system has linear time in order to facilitate the automatically identification of a variety of syntax and semantical errors in workflow models, which enables the analysis of 4 additional types of errors.

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Acknowledgments

The reported study was partially supported by RFBR, research project №15-07-08268a.

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Authors and Affiliations

  1. Ulyanovsk State Technical University, Ulyanovsk, Russia

    Alexander Afanasyev & Nikolay Voit

Authors
  1. Alexander Afanasyev
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  2. Nikolay Voit
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Corresponding author

Correspondence to Alexander Afanasyev .

Editor information

Editors and Affiliations

  1. Sci N/w for Innova and Research Exc, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Rostov State Transport University, Rostov-on-Don, Russia

    Sergey Kovalev

  3. Bauman Moscow State Technical University, Moscow, Russia

    Valery Tarassov

  4. Institute of Mathematics, VŠB-Technical University of Ostrava, Ostrava, Czech Republic

    Václav Snášel

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Afanasyev, A., Voit, N. (2016). Intelligent Agent System to Analysis Manufacturing Process Models. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds) Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16). Advances in Intelligent Systems and Computing, vol 451. Springer, Cham. https://doi.org/10.1007/978-3-319-33816-3_39

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  • DOI: https://doi.org/10.1007/978-3-319-33816-3_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33815-6

  • Online ISBN: 978-3-319-33816-3

  • eBook Packages: EngineeringEngineering (R0)

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