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The aim of our research is to gain understanding about material flow related information sharing in the circular economy value network in the form of industrial symbiosis. We need this understanding for facilitating new industrial symbiosis relationships and to support the optimization of operations. Circular economy has been promoted by politics and regulation by EU. In Finland, new circular economy strategy raises the facilitation of industrial symbiosis and data utilization as the key actions to improve sustainability and green growth. Companies stated that the practical problem is to get information on material availability. Digitalization is expected to boost material flows in circular economy by data, but what are the real challenges with circular material flows and what is the willingness of companies to develop co-operation? This paper seeks understanding on how Industry 4.0 is expected to improve the efficiency of waste or by-product flows and what are the expectations of companies. The research question is: How Industry 4.0 technologies and solutions can fix the gaps and discontinuities in the Industrial Symbiosis information flow? This research is conducted as a qualitative case study research with three cases, three types of material and eight companies. Interview data were collected in Finland between January and March 2021. Companies we interviewed mentioned use-cases for sensors and analytics to optimize the material flow but stated the investment cost compared to the value of information. To achieve sustainable circular material flows, the development needs to be done in the bigger picture, for the chain or network of actors, and the motivation and the added value must be found for each of them.
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Tom
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111--121
Opis fizyczny
Bibliogr. 35 poz., tab.
Twórcy
autor
- Häme University of Applied Sciences, Visamäentie 35, 13100 Hämeenlinna, Finland
autor
- Häme University of Applied Sciences, Finland
autor
- Department of Mechanical and Materials Engineering, University of Turku, Finland
- Poznan University of Technology, Faculty of Engineering Management, Poland
Bibliografia
- Antikainen M., Uusitalo T. and Kivikytö-Reponen P. (2018). Digitalisation as an Enabler of Circular Economy, Procedia CIRP vol. 73, pp. 45–49. DOI: 10.1016/J.PROCIR.2018.04.027.
- Bakajic M. and Parvi A. (2018). Barriers to Closing Waste Loops in the European Union – Implications for circular economy platforms in waste management, Master’s thesis, Aalto University. School of Business. http://urn.fi/URN:NBN:fi:aalto-201901181305.
- Chertow M.R. (2007). “Uncovering” industrial symbiosis, Journal of Industrial Ecology, vol. 11, pp. 11–30. DOI: 10.1162/jiec.2007.1110.
- Cramer J. (2018). Key drivers for high-grade recycling under constrained conditions, Recycling, vol. 3, pp. 1–15. DOI: 10.3390/recycling3020016.
- Deloitte (2015). Industry 4.0 – Challenges and solutions for the digital transformation and use of exponential technologies, https://www2.deloitte.com/content/dam/Deloitte/ch/Documents/manufacturing/ch-enmanufacturing-industry-4-0-24102014.pdf.
- DIN (2018). German Standardization Roadmap on Industry 4.0, version 3.
- Ellen MacArthur Foundation (2021). What is a Circular Economy?, https://www.ellenmacarthurfoundation.org/circular-economy/concept, last accessed 2021/04/25.
- Ellen MacArthur Foundation (2017). Urban Biocycles, https://emf.thirdlight.com/link/ptejjhurhaj5-iigai0/@/preview/1?o, last accessed 2021/04/25
- European Commission (2015). Closing the loop – An EU action plan for the Circular Economy. European Commission (2020). A new Circular Economy Action Plan for a cleaner and more competitive Europe.
- European Commission (2021). “Fit for 55”: delivering the EU’s 2030 Climate Target on the way to climate neutrality.
- Eurostat (2021). Overview – Circular economy, https://ec.europa.eu/eurostat/web/circular-economy, last accessed 2021/04/25.
- Finnish Government (2021). New directions:The strategic programme to promote a circular economy.
- Frosch R.A. and Gallopoulos N.E. (1989). Strategies for Manufacturing. Scientific American, vol. 261, pp. 144–152. DOI: 10.1038/scientificamerican0989-144.
- Järvenpää A.-M., Kantola J., Salminen V. (2021). Information Sharing in Industrial Symbiosis. In: Kantola, J.I., Nazir, S., and Salminen, V. (eds.) Advances in Human Factors, Business Management and Leadership. pp. 79–85. Springer International Publishing, Cham.
- Kaza S., Yao L., Bhada-Tata P. and Van Woerden F. (2018). What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050, Washington, DC: World Bank.
- Kerdlap P., Low, J.S.C. and Ramakrishna S. (2019). Zero waste manufacturing: A framework and review of technology, research, and implementation barriers for enabling a circular economy transition in Singapore. Resources, Conservation & Recycling, vol. 151. DOI: 10.1016/j.resconrec.2019.104438.
- Kumar S., Suhaib M. and Asjad M. (2020). Industry 4.0: Complex, disruptive, but inevitable. Management and Production Engineering Review, vol. 11, pp. 43–51. DOI: 10.24425/mper.2020.132942.
- Li X. (2018). Industrial Ecology and Industry Symbiosis for Environmental Sustainability. In: Industrial Ecology and Industry Symbiosis for Environmental Sustainability, Palgrave Pivot, Cham. DOI: 10.1007/978- 3-319-67501-5_1.
- Limba T., Novikovas A., Stankevičius A., Andrulevičius A. and Tvaronavičiene M. (2020). Big data manifestation in municipalwaste management and cryptocurrency sectors: Positive and negative implementation factors. Sustain, vol. 12. DOI: 10.3390/su12072862.
- Lombardi D.R. and Laybourn P. (2012). Redefining Industrial Symbiosis: Crossing Academic-Practitioner Boundaries, Journal of Industrial Ecology. https://onlinelibrary.wiley.com/doi/10.1111/j.1530-9290.2011.00444.x.
- Maqbool A.S., Alva F.M. and Van Eetvelde G. (2018). An assessment of European information technology tools to support industrial symbiosis. Sustainability 11, no. 1: 131. DOI: 10.3390/su11010131.
- Mboli J.S., Thakker D.K. and Mishra J.L. (2020). An Internet of Things-enabled decision support system for circular economy business model. Software: Practice and Experience, pp. 1–16. DOI: 10.1002/spe.2825.
- McKinsey Digital (2015). Industry 4.0 – How to navigate digitalization of the manufacturing sector, McKinsey & Company, https://www.mckinsey.com/.
- Okorie O., Turner C., Charnley F., Moreno M. and Tiwari A. (2017). A review of data driven approaches for Circular Economy in manufacturing, In: 18th European Roundtable for Sustainable Consumption and Production, ERSCP. pp. 120–131.
- Proceedings of the 27th European Conference on Information Systems (ECIS). Stockholm & Uppsala, Sweden, June 8–14, 2019.
- PwC (2016). Industry 4.0: Building the digital enterprise, Global Digital IQ Survey, September.
- Rajput S. and Singh S.P. (2019). Connecting circular economy and industry 4.0, International Journal of Information Management, vol. 49, pp. 98–113. DOI: 10.1016/J.IJINFOMGT.2019.03.002.
- Ruohomaa H., Salminen V. and Järvenpää, A.-M. (2018). Regional Development Based on Digital Driven Symbiosis, Advances in Human Factors, Business Management and Society, pp. 1–14. DOI: 10.1007/978-3-319-94709-9_1.
- Sanghavi D., Parikh S. and Raj S.A. (2019). Industry 4.0: Tools and implementation. Managament and Production Engineering Review, vol. 10, pp. 3–13. DOI: 10.24425/mper.2019.129593.
- Saunders M., Lewis P. and Thornhill A. (2012). Research Methods for Business Students. Pearson, Harlow.
- Schumacher A. and Sihn W. (2020). A strategy guidance model to realize industrial digitalization in production companies, Managament and Production Engineering Review, vol. 11, pp. 14–25. DOI: 10.24425/mper.2020.134928.
- Tseng M.-L., Tan R.R., Chiu A.S.F., Chien C.-F. and Kuo, T.C. (2018). Circular economy meets industry 4.0: Can big data drive industrial symbiosis? Resources, Conservation & Recycling, vol. 131, pp. 146–147. DOI: 10.1016/J.RESCONREC.2017.12.028.
- Tura N., Hanski J., Ahola T., Stĺhle M., Piiparinen S. and Valkokari P. (2019). Unlocking circular business: A framework of barriers and drivers. Journal of Cleaner Production, vol. 212, pp. 90–98. DOI: 10.1016/J.JCLEPRO.2018.11.202.
- Xu M., Cai H. and Liang S. (2015). Big Data and Industrial Ecology. Journal of Industrial Ecology, vol. 19, pp. 205–210. DOI: 10.1111/jiec.12241.
- Yin R.K. (2018). Case Study Research and Applications: design and methods, SAGE Publications, Los Angeles.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ced84100-1406-4933-8c11-acd6cfd8de9e