Abstract
The aim of the Circular economy (CE) business models is to reuse materials and decrease the need for virgin materials in the value chains. This, in turn, requires close collaboration and information sharing between the value chain stakeholders. For this, digitalization and data play a crucial role. This paper studies how small and medium sized enterprises (SMEs) operating in CE can utilize digitalization and data in managing and optimizing the material flows that are central to their production processes. The paper focuses on four case companies, all operating in CE business in Finland, and analyses how these companies have been able to enhance their material flow management by means of data-driven logistics optimization in a research-based university-industry collaboration. The solutions range from conceptual solutions to mathematical optimization and a tool supported solution concept.
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References
Suchek, N., Fernandes, C.I., Kraus, S., Filser, M., Sjögrén, H.: Innovation and the circular economy: a systematic literature review. Bus. Strateg. Environ. 1–17 (2021). https://doi.org/10.1002/bse.2834
Geissdoerfer, M., Savaget, P., Bocken, N.M.P., Hultink, E.J.: The circular economy–a new sustainability paradigm? J. Clean. Prod. 143, 757–768 (2017). https://doi.org/10.1016/j.jclepro.2016.12.048
Urbinati, A., Chiaroni, D., Chiesa, V.: Towards a new taxonomy of circular economy business models. J. Clean. Prod. 168, 487–498 (2017). https://doi.org/10.1016/j.jclepro.2017.09.047
Järvenpää, A.-M., Kunttu, I., Jussila, J., Mäntyneva, M.: Data-driven decision-making in circular economy SMEs in Finland. Springer Proc. Complex, pp. 371–382 (2021). https://doi.org/10.1007/978-3-030-84311-3_34
Järvenpää, A.-M., Kunttu, I., Mäntyneva, M.: Using foresight to shape future expectations in circular economy SMEs. Technol. Innov. Manag. Rev. 10, 41–50 (2020). https://doi.org/10.22215/timreview/1374
OECD: Enhancing the contributions of SMEs in a global and digitalised economy. meet. OECD Counc. Minist. Lev. (2017)
Finnish Government: New directions: The strategic programme to promote a circular economy (2021)
Kauppila, T., Berg, A., Dahlbo, H., Eilu, P., Heikkilä, P., Hentunen, A., Hilska-Keinänen, K., Horn, S., Ilvesniemi, H., Jenu, S., Karhu, M., Karppinen, T.K.M., Kauppi, S., Kivikytö-Reponen, P., Lavikko, S., Lehtonen, E., Luostarinen, S., Majaniemi, S., Malmi, P., Naumanen, M., Ovaska, J.-P., Pesonen, L., Pesu, J., Pitkänen, H., Pokki, J., Räisänen, M., Salminen, J., Sapon, S., Siivola, E., Sorvari, J., Tanner, H., Tuovila, H., Uusitalo, T., Valtanen, K.: Handbook for a data-driven circular economy in Finland: data sources, tools, and governance for circular design (2022). https://doi.org/10.32040/2242-122X.2022.T401
Motiva Oy: Materiaalikiertojen data-alusta ja ekosysteemi [Material cycles data platform and ecosystem]. https://www.motiva.fi/ratkaisut/materiaalitehokkuus/materiaalikiertojen_data-alusta_ja_ekosysteemi. Accessed 12 Mar 2022
Regional Council of Häme: Road Map for Circular Economy in Kanta-Häme (2022)
Acknowledgements
This research was supported by the European Regional Development Project Green Smart Services in Developing Circular Economy SMEs (A77472).
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Järvenpää, AM., Jussila, J., Honkasaari, M., Koskela, O., Kunttu, I. (2023). Data-Driven Management of Material Flows in Circular Economy by Logistics Optimization. In: Visvizi, A., Troisi, O., Grimaldi, M. (eds) Research and Innovation Forum 2022. RIIFORUM 2022. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-19560-0_48
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DOI: https://doi.org/10.1007/978-3-031-19560-0_48
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