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Soft Modelling-Based Methodology of Raw Material Waste Estimation

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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 looks at soft modelling-based estimation of raw material waste for various variants of a technological process under development. A methodology of assessment of new technology variants, in terms of minimization of the input material waste, is presented. Results of an analysis of variants of a new technology of manufacturing of the middle layer of a flooring board, carried out according to the developed methodology, are shown. The assessment is performed in an original software tool for waste simulation. It is shown that the developed methodology supports the estimation of material waste and assists in the selection of the optimal variant of the process, taking into consideration the constraints of the organization.

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Acknowledgement

The results presented in the paper come from the R&D project: Improvement of raw wood efficiency in the industrial production processes, BIOSTRATEG2/298950/1/NCBR/2016, run by the Faculty of Mechanical Engineering and Management, Poznan University of Technology, Poland (in cooperation with a floorboard manufacturer in Poland), supported by the National Centre for Research and Development (NCBR) from the financial means within the BIOSTRATEG programme.

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Authors and Affiliations

  1. Chair of Management and Production Engineering, Poznan University of Technology, Poznan, Poland

    Agnieszka Kujawińska, Magdalena Diering, Michał Rogalewicz & Krzysztof Żywicki

  2. Barlinek Inwestycje Sp. z o.o., Barlinek, Poland

    Łukasz Hetman

Authors
  1. Agnieszka Kujawińska
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  2. Magdalena Diering
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  3. Michał Rogalewicz
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  4. Krzysztof Żywicki
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  5. Łukasz Hetman
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Corresponding author

Correspondence to Magdalena Diering .

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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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Kujawińska, A., Diering, M., Rogalewicz, M., Żywicki, K., Hetman, Ł. (2018). Soft Modelling-Based Methodology of Raw Material Waste Estimation. 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_39

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  • DOI: https://doi.org/10.1007/978-3-319-64465-3_39

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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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