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Industrial Applications of Holonic and Multi-Agent Systems pp 83–94Cite as

Agent-Based Control of Operational Conditions for Smart Factories: The Peak Load Management Scenario

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8062))

Abstract

Operational conditions define the minimum requirements for the manufacturing site to operate while at the same time restricting the optimization potential and limiting the opportunities for reduction of resource consumption. Parameters of the manufacturing ecosystem composing these conditions depend on numerous factors. High-level intelligent control is required in order to grasp the complexity of the dependencies between the manufacturing ecosystem parameters and expand opportunities for optimization.

This paper describes an agent-based peak load management scenario and considers its implication for control architecture of smart factory operational conditions leveraging on SOA and collaborative intelligent agents paradigms.

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Author information

Authors and Affiliations

  1. Tampere University of Technology, Tampere, Finland

    Anna Florea, Juha Lauttamus, Corina Postelnicu & Jose L. Martinez Lastra

Authors
  1. Anna Florea
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  2. Juha Lauttamus
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  3. Corina Postelnicu
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  4. Jose L. Martinez Lastra
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Editor information

Editors and Affiliations

  1. Department of Cybernetics, Czech Technical University, Technická 2, 166 27, Prague, Czech Republic

    Vladimír Mařík

  2. Department of Production Engineering, Tampere University of Technology, Korkeakoulunkatu 6, 33720, Tampere, Finland

    Jose L. Martinez Lastra

  3. Smart Solutions Ltd., Moscowskoe shosse 17, 443013, Samara, Russia

    Petr Skobelev

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Florea, A., Lauttamus, J., Postelnicu, C., Lastra, J.L.M. (2013). Agent-Based Control of Operational Conditions for Smart Factories: The Peak Load Management Scenario. In: Mařík, V., Lastra, J.L.M., Skobelev, P. (eds) Industrial Applications of Holonic and Multi-Agent Systems. Lecture Notes in Computer Science(), vol 8062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40090-2_8

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  • DOI: https://doi.org/10.1007/978-3-642-40090-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40089-6

  • Online ISBN: 978-3-642-40090-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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