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A New Petri Nets Based Approach for Modeling of Discrete Manufacturing System

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Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017 (ISPEM 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 637))

Abstract

This paper presents a new approach for modeling discrete manufacturing systems using Petri nets. Starting with the literature review of the classical approaches, this paper describes the new approach known as Activity-Oriented Petri Nets (AOPN). The AOPN approach provides expressive Petri net models that are powerful enough for modeling complex and large-scale manufacturing systems. The AOPN approach provides compact Petri net model too when a large number of resources are used in the manufacturing system. GPenSIM is a software implementation of AOPN on MATLAB platform. Using a flexible manufacturing system as a running example, this paper also shows how a real-life manufacturing system can be modeled and simulated with the GPenSIM software using AOPN approach.

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Acknowledgement

This paper was written when the author was staying at the Silesian University of Technology, Poland, for his sabbatical leave. The author wants to thank the Institute of Engineering Processes Automation and Integrated Manufacturing Systems of the Faculty of Mechanical Engineering, for hosting him.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Stavanger, Stavanger, Norway

    Reggie Davidrajuh

Authors
  1. Reggie Davidrajuh
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Corresponding author

Correspondence to Reggie Davidrajuh .

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Editors and Affiliations

  1. Faculty of Mechanical Engineering, Centre for Advanced Manufacturing Technologies, Fraunhofer Project Center, Wrocław University of Technology, Wrocław, Poland

    Anna Burduk

  2. Lublin University of Technology, Lublin, Poland

    Dariusz Mazurkiewicz

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Davidrajuh, R. (2018). A New Petri Nets Based Approach for Modeling of Discrete Manufacturing System. In: Burduk, A., Mazurkiewicz, D. (eds) Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017. ISPEM 2017. Advances in Intelligent Systems and Computing, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-319-64465-3_11

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  • DOI: https://doi.org/10.1007/978-3-319-64465-3_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64464-6

  • Online ISBN: 978-3-319-64465-3

  • eBook Packages: EngineeringEngineering (R0)

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