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Artificial Neural Network-Supported Selection of Materials in Ecodesign

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Advances in Manufacturing II (MANUFACTURING 2019)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

At the current rate of development in the industry, protecting the global environment is a priority. One of the ways to prevent environmental degradation is the manufacturing of recyclable products which can be disassembled and their materials and components processed for reuse. Recyclability of products can be taken into account as early as at the design stage. Appropriate selection of materials, connections and disassembly methods can facilitate and simplify recycling. This paper looks at an original method of material selection at the design stage, which takes into consideration recyclability of materials. An expert system based on artificial neural networks is presented. Analyses of input data for material selection have been conducted, the training file and neural network models have been developed, and the models have been assessed. Research has proven that artificial neural networks are suitable for supporting the selection of materials in ecodesign.

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References

  1. Rojek, I., Dostatni, E., Hamrol, A.: Ecodesign of technological processes with the use of decision trees method. In: International Joint Conference SOCO 2017-CISIS 2017-ICEUTE 2017, León, Spain, 6–8 September 2017, Proceeding. SOCO 2017, CISIS 2017, ICEUTE 2017. Advances in Intelligent Systems and Computing, vol. 649, pp. 318–327. Springer (2018)

    Google Scholar 

  2. Dostatni, E., Rojek, I., Hamrol, A.: The use of machine learning method in concurrent ecodesign of products and technological processes. In: Advances in Manufacturing, Lecture Notes in Mechanical Engineering, pp. 321–330. Springer (2018)

    Google Scholar 

  3. Hauschild, M., Jeswiet, J., Alting, L.: Design for environment – do we get the focus right? Ann. CIRP 53(1), 1–4 (2004)

    Article  Google Scholar 

  4. Karlsson, R., Luttropp, C.: Ecodesign: what’s happening? J. Clean. Prod. 14, 1291–1298 (2006)

    Article  Google Scholar 

  5. Pigosso, D., Zanette, E.T., Guelere, Filho A., Ometto, A.R., Rozenfeld, H.: Ecodesign methods focused on remanufacturing. J. Clean. Prod. 18, 21–31 (2010)

    Article  Google Scholar 

  6. Johansson, G.: Success factor for integration of ecodesign in product development: a review of state of the art. Environ. Manag. Health 13(1), 98–107 (2002)

    Article  Google Scholar 

  7. Tukker, A., Eder, P., Charter, M., Haag, E., Vercalsteren, A., Wiedmann, T.: Ecodesign: the state of implementation in Europe. J. Sustain. Prod. Des. 1, 147–161 (2008)

    Article  Google Scholar 

  8. Bey, N., Hauschild, M.Z., McAloone, T.C.: Drivers and barriers for implementation of environmental strategies in manufacturing companies. CIRP Ann. Manuf. Technol. 62, 43–46 (2013)

    Article  Google Scholar 

  9. Dekoninck, E.A., Domingo, L., O’Hare, J.A., Pigosso, D.C.A., Reyes, T., Troussier, N.: Defining the challenges for ecodesign implementation in companies: development and consolidation of a framework. J. Clean. Prod. 135, 410–425 (2016)

    Article  Google Scholar 

  10. Domingo, L., Buckingham, M., Dekoninck, E., Cornwell, H.: The importance of understanding the business context when planning ecodesign activities. J. Ind. Prod. Eng. 32, 24–32 (2015)

    Google Scholar 

  11. Knight, P., Jenkins, J.O.: Adopting and applying ecodesign techniques: a practitioners perspective. J. Clean. Prod. 17, 549–558 (2009)

    Article  Google Scholar 

  12. Karwasz, A., Trojanowska, J.: Using CAD 3D system in ecodesign-case study. In: Efficiency in Sustainable Supply Chain, Book Series: EcoProduction, pp. 137–160 (2017)

    Google Scholar 

  13. https://pl.wikipedia.org/wiki/Recykling. Accessed Nov 2018

  14. Korzeń, Z.: Ecologistics, [in Polish], Biblioteka Logistyka, Poznań (2001). (The Institute of Logistics and Warehousing)

    Google Scholar 

  15. Birch, A., Hon, K.K.B., Shor, T.: Structure and output mechanisms in design for environment (DfE) tools. J. Clean. Prod. 35, 50–58 (2012)

    Article  Google Scholar 

  16. Hinchliffe, D., Akkerman, F.: Assessing the review process of EU ecodesign regulations. J. Clean. Prod. 168, 1603–1613 (2017)

    Article  Google Scholar 

  17. Bundgaard, A.M., Mosgaard, M.A., Remmen, A.: From energy efficiency towards resource efficiency within the ecodesign directive. J. Clean. Prod. 144, 358–374 (2017)

    Article  Google Scholar 

  18. Rojek, I.: Neural networks as prediction models for water intake in water supply system. Lecture Notes in Artificial Intelligence, LNAI, vol. 5097, pp. 1109–1119. Springer (2008)

    Google Scholar 

  19. Rojek, I.: Neural networks as performance improvement models in intelligent CAPP systems. Control Cybern. 39(1), 55–68 (2010)

    Google Scholar 

  20. Dostatni, E., Diakun, J., Grajewski, D., Wichniarek, R., Karwasz, A.: Multi-agent system to support decision-making process in design for recycling. Soft. Comput. 20(11), 4347–4361 (2016)

    Article  Google Scholar 

  21. Dostatni, E., Diakun, J., Grajewski, D., Wichniarek, R., Karwasz, A.: Functionality assessment of ecodesign support system. Manag. Prod. Eng. Rev. 6(1), 10–15 (2015)

    Google Scholar 

  22. Tadeusiewicz, R., Chaki, R., Chaki, N.: Exploring Neural Networks with C#. CRC Press Taylor & Francis Group, Boca Raton (2014)

    Book  Google Scholar 

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Acknowledgments

The research work reported here partially was made possible by project no 02/23/DSPB/7716.

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Authors and Affiliations

  1. Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland

    Izabela Rojek

  2. Department of Management and Production Engineering, Poznan University of Technology, Poznan, Poland

    Ewa Dostatni

Authors
  1. Izabela Rojek
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  2. Ewa Dostatni
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Corresponding author

Correspondence to Ewa Dostatni .

Editor information

Editors and Affiliations

  1. Poznan University of Technology, Poznan, Poland

    Justyna Trojanowska

  2. Poznan University of Technology, Poznan, Poland

    Olaf Ciszak

  3. Mechanical Engineering Department, University of Minho, Braga, Portugal

    José Mendes Machado

  4. Sumy State University, Sumy, Ukraine

    Ivan Pavlenko

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Rojek, I., Dostatni, E. (2019). Artificial Neural Network-Supported Selection of Materials in Ecodesign. In: Trojanowska, J., Ciszak, O., Machado, J., Pavlenko, I. (eds) Advances in Manufacturing II. MANUFACTURING 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-18715-6_35

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  • DOI: https://doi.org/10.1007/978-3-030-18715-6_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-18714-9

  • Online ISBN: 978-3-030-18715-6

  • eBook Packages: EngineeringEngineering (R0)

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