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Optimization of Production Organization in a Packaging Company by Ant Colony Algorithm

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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

The paper deals with the production scheduling optimization problem. Real production environment have been considered - a company that produces different types of products; and an optimization method based on the intelligent ant-colony optimization (ACO) algorithm have been proposed. In the paper the original problem formulation for the considered production scheme is shown, also the details of ACO meta-heuristic are proposed and presented.

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Authors and Affiliations

  1. Faculty of Mechanical Engineering, Centre for Advanced Manufacturing Systems, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370, Wrocław, Poland

    Dagmara Górnicka & Anna Burduk

  2. Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370, Wrocław, Poland

    Marcin Markowski

Authors
  1. Dagmara Górnicka
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  2. Marcin Markowski
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  3. Anna Burduk
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Corresponding author

Correspondence to Anna Burduk .

Editor information

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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Górnicka, D., Markowski, M., Burduk, A. (2018). Optimization of Production Organization in a Packaging Company by Ant Colony Algorithm. 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_33

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  • DOI: https://doi.org/10.1007/978-3-319-64465-3_33

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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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